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Tue, 01 Nov 2016 11:19:52 GMT狠狠撸Share feed for 狠狠撸shows by User: revealeuGeoparsing and Real-time Social Media Analytics - technical and social challenges
/slideshow/geoparsing-and-realtime-social-media-analytics-technical-and-social-challenges/67985812
esrc-seminar-it-innovation-v2-161101111952 "Geoparsing and Real-time Social Media Analytics - technical and social challenges"
UK ESRC seminar series - Microenterprise, technology and big data.
Southampton, UK. Stuart E. Middleton (ITINNO) presented the REVEAL project to the UK social science research community.]]>
"Geoparsing and Real-time Social Media Analytics - technical and social challenges"
UK ESRC seminar series - Microenterprise, technology and big data.
Southampton, UK. Stuart E. Middleton (ITINNO) presented the REVEAL project to the UK social science research community.]]>
Tue, 01 Nov 2016 11:19:52 GMT/slideshow/geoparsing-and-realtime-social-media-analytics-technical-and-social-challenges/67985812revealeu@slideshare.net(revealeu)Geoparsing and Real-time Social Media Analytics - technical and social challengesrevealeu"Geoparsing and Real-time Social Media Analytics - technical and social challenges"
UK ESRC seminar series - Microenterprise, technology and big data.
Southampton, UK. Stuart E. Middleton (ITINNO) presented the REVEAL project to the UK social science research community.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/esrc-seminar-it-innovation-v2-161101111952-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> "Geoparsing and Real-time Social Media Analytics - technical and social challenges"
UK ESRC seminar series - Microenterprise, technology and big data.
Southampton, UK. Stuart E. Middleton (ITINNO) presented the REVEAL project to the UK social science research community.
]]>
4575https://cdn.slidesharecdn.com/ss_thumbnails/esrc-seminar-it-innovation-v2-161101111952-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Veracity & Velocity of Social Media Content during Breaking News
/revealeu/snow-2016-presentation
snow2016-presentation-reveal-v3-160509120014 The Analysis of November 2015 Paris Shootings. by Stefanie Wiegand & Stuart E. Middleton]]>
The Analysis of November 2015 Paris Shootings. by Stefanie Wiegand & Stuart E. Middleton]]>
Mon, 09 May 2016 12:00:14 GMT/revealeu/snow-2016-presentationrevealeu@slideshare.net(revealeu)Veracity & Velocity of Social Media Content during Breaking NewsrevealeuThe Analysis of November 2015 Paris Shootings. by Stefanie Wiegand & Stuart E. Middleton<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/snow2016-presentation-reveal-v3-160509120014-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> The Analysis of November 2015 Paris Shootings. by Stefanie Wiegand & Stuart E. Middleton
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6665https://cdn.slidesharecdn.com/ss_thumbnails/snow2016-presentation-reveal-v3-160509120014-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0REVEAL Project - Trust and Credibility Analysis
/slideshow/reveal-project-trust-and-credibility-analysis/53544182
www2015-workshop-rdsm2015-invitedtalk-v4-151005112822-lva1-app6892 Stuart E. Middleton held this presentation at a WWW-2015 workshop in Florence, Italy
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Stuart E. Middleton held this presentation at a WWW-2015 workshop in Florence, Italy
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Mon, 05 Oct 2015 11:28:22 GMT/slideshow/reveal-project-trust-and-credibility-analysis/53544182revealeu@slideshare.net(revealeu)REVEAL Project - Trust and Credibility AnalysisrevealeuStuart E. Middleton held this presentation at a WWW-2015 workshop in Florence, Italy
<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/www2015-workshop-rdsm2015-invitedtalk-v4-151005112822-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Stuart E. Middleton held this presentation at a WWW-2015 workshop in Florence, Italy
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8317https://cdn.slidesharecdn.com/ss_thumbnails/www2015-workshop-rdsm2015-invitedtalk-v4-151005112822-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0"Extracting Attributed Verification and Debunking Reports from Social Media: MediaEval-2015 Trust and Credibility Analysis of Image and Video"
/slideshow/extracting-attributed-verification-and-debunking-reports-from-social-media-mediaeval2015-trust-and-credibility-analysis-of-image-and-video/53543971
me2015uositislides-151005112330-lva1-app6892 Stuart E. Middleton held this presentation as part of the MediaEval-2015 challenge in Wurzen, Germany
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Stuart E. Middleton held this presentation as part of the MediaEval-2015 challenge in Wurzen, Germany
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Mon, 05 Oct 2015 11:23:30 GMT/slideshow/extracting-attributed-verification-and-debunking-reports-from-social-media-mediaeval2015-trust-and-credibility-analysis-of-image-and-video/53543971revealeu@slideshare.net(revealeu)"Extracting Attributed Verification and Debunking Reports from Social Media: MediaEval-2015 Trust and Credibility Analysis of Image and Video"revealeuStuart E. Middleton held this presentation as part of the MediaEval-2015 challenge in Wurzen, Germany
<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/me2015uositislides-151005112330-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Stuart E. Middleton held this presentation as part of the MediaEval-2015 challenge in Wurzen, Germany
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6088https://cdn.slidesharecdn.com/ss_thumbnails/me2015uositislides-151005112330-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Prix Italia 2015 - Verification in Social Newsgathering
/slideshow/prix-italia-2015-verification-in-social-newsgathering/53273770
201509prixitaliaverificationinsocialnewsgatheringv4shared-150928120647-lva1-app6892 On 21 September 2015 Jochen Spangenberg represented REVEAL in the session "News and User-Generated Content" at Prix Italia 2015. The panel discussed the impact of eyewitness media on the news business, what has changed in the past, and how to deal with respective challenges now and in the future. Here's Jochen's presentation - slightly adapted for public access.]]>
On 21 September 2015 Jochen Spangenberg represented REVEAL in the session "News and User-Generated Content" at Prix Italia 2015. The panel discussed the impact of eyewitness media on the news business, what has changed in the past, and how to deal with respective challenges now and in the future. Here's Jochen's presentation - slightly adapted for public access.]]>
Mon, 28 Sep 2015 12:06:47 GMT/slideshow/prix-italia-2015-verification-in-social-newsgathering/53273770revealeu@slideshare.net(revealeu)Prix Italia 2015 - Verification in Social NewsgatheringrevealeuOn 21 September 2015 Jochen Spangenberg represented REVEAL in the session "News and User-Generated Content" at Prix Italia 2015. The panel discussed the impact of eyewitness media on the news business, what has changed in the past, and how to deal with respective challenges now and in the future. Here's Jochen's presentation - slightly adapted for public access.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/201509prixitaliaverificationinsocialnewsgatheringv4shared-150928120647-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> On 21 September 2015 Jochen Spangenberg represented REVEAL in the session "News and User-Generated Content" at Prix Italia 2015. The panel discussed the impact of eyewitness media on the news business, what has changed in the past, and how to deal with respective challenges now and in the future. Here's Jochen's presentation - slightly adapted for public access.
]]>
5546https://cdn.slidesharecdn.com/ss_thumbnails/201509prixitaliaverificationinsocialnewsgatheringv4shared-150928120647-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Verification of UGC/Eyewitness Media: Challenges and Approaches
/slideshow/verification-of-ugceyewitness-media-challenges-and-approaches/50841737
201507ugcverificationnewsrewiredlondon16-7-2015v4finalsharedtonewsrw-150723112131-lva1-app6892 This presentation was held by Jochen Spangenberg at the news:rewired conference in London, July 2015.
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This presentation was held by Jochen Spangenberg at the news:rewired conference in London, July 2015.
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Thu, 23 Jul 2015 11:21:31 GMT/slideshow/verification-of-ugceyewitness-media-challenges-and-approaches/50841737revealeu@slideshare.net(revealeu)Verification of UGC/Eyewitness Media: Challenges and Approaches revealeuThis presentation was held by Jochen Spangenberg at the news:rewired conference in London, July 2015.
<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/201507ugcverificationnewsrewiredlondon16-7-2015v4finalsharedtonewsrw-150723112131-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> This presentation was held by Jochen Spangenberg at the news:rewired conference in London, July 2015.
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6184https://cdn.slidesharecdn.com/ss_thumbnails/201507ugcverificationnewsrewiredlondon16-7-2015v4finalsharedtonewsrw-150723112131-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Web image size prediction for efficient focused image crawling
/slideshow/web-image-size-prediction-for-efficient-focused-image-crawling/49400024
kandreadoucbmi59-150615103546-lva1-app6891 Web image size prediction for efficient focused image crawling
Paper by: Katerina Andreadou, Symeon Papadopoulos and Yiannis Kompatsiaris from Centre for Research and Technology Hellas (CERTH) 鈥� Information Technologies Institute (ITI)
Presented by Katerina Iliakopoulou on CBMI 2015, June 11, 2015, Prague, Czech Republic]]>
Web image size prediction for efficient focused image crawling
Paper by: Katerina Andreadou, Symeon Papadopoulos and Yiannis Kompatsiaris from Centre for Research and Technology Hellas (CERTH) 鈥� Information Technologies Institute (ITI)
Presented by Katerina Iliakopoulou on CBMI 2015, June 11, 2015, Prague, Czech Republic]]>
Mon, 15 Jun 2015 10:35:46 GMT/slideshow/web-image-size-prediction-for-efficient-focused-image-crawling/49400024revealeu@slideshare.net(revealeu)Web image size prediction for efficient focused image crawlingrevealeuWeb image size prediction for efficient focused image crawling
Paper by: Katerina Andreadou, Symeon Papadopoulos and Yiannis Kompatsiaris from Centre for Research and Technology Hellas (CERTH) 鈥� Information Technologies Institute (ITI)
Presented by Katerina Iliakopoulou on CBMI 2015, June 11, 2015, Prague, Czech Republic<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kandreadoucbmi59-150615103546-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Web image size prediction for efficient focused image crawling
Paper by: Katerina Andreadou, Symeon Papadopoulos and Yiannis Kompatsiaris from Centre for Research and Technology Hellas (CERTH) 鈥� Information Technologies Institute (ITI)
Presented by Katerina Iliakopoulou on CBMI 2015, June 11, 2015, Prague, Czech Republic
]]>
11911https://cdn.slidesharecdn.com/ss_thumbnails/kandreadoucbmi59-150615103546-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0News-oriented multimedia search over multiple social networks
/slideshow/multi-osnmediasearch/49399617
multi-osn-media-search-150615102453-lva1-app6892 News-oriented multimedia search over multiple social networks
Paper by: Katerina Iliakopoulou, Symeon Papadopoulos and Yiannis Kompatsiaris from Centre for Research and Technology Hellas (CERTH) 鈥� Information Technologies Institute (ITI)
Presented by Katerina Iliakopoulou on CBMI 2015, June 11, 2015, Prague, Czech Republic]]>
News-oriented multimedia search over multiple social networks
Paper by: Katerina Iliakopoulou, Symeon Papadopoulos and Yiannis Kompatsiaris from Centre for Research and Technology Hellas (CERTH) 鈥� Information Technologies Institute (ITI)
Presented by Katerina Iliakopoulou on CBMI 2015, June 11, 2015, Prague, Czech Republic]]>
Mon, 15 Jun 2015 10:24:53 GMT/slideshow/multi-osnmediasearch/49399617revealeu@slideshare.net(revealeu)News-oriented multimedia search over multiple social networksrevealeuNews-oriented multimedia search over multiple social networks
Paper by: Katerina Iliakopoulou, Symeon Papadopoulos and Yiannis Kompatsiaris from Centre for Research and Technology Hellas (CERTH) 鈥� Information Technologies Institute (ITI)
Presented by Katerina Iliakopoulou on CBMI 2015, June 11, 2015, Prague, Czech Republic<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/multi-osn-media-search-150615102453-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> News-oriented multimedia search over multiple social networks
Paper by: Katerina Iliakopoulou, Symeon Papadopoulos and Yiannis Kompatsiaris from Centre for Research and Technology Hellas (CERTH) 鈥� Information Technologies Institute (ITI)
Presented by Katerina Iliakopoulou on CBMI 2015, June 11, 2015, Prague, Czech Republic
]]>
7182https://cdn.slidesharecdn.com/ss_thumbnails/multi-osn-media-search-150615102453-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0WWW2015 - RDSM2015 Workshop - Trust and Credibility Analysis
/slideshow/www2015-workshoprdsm2015invited-talkv4/48379987
www2015-workshop-rdsm2015-invitedtalk-v4-150520110535-lva1-app6892 In this presentation Stuart Middleton describes the objectives and approach of trust and credibility analysis in the REVEAL Project.
How to enable users to reveal hidden 鈥榤odalities鈥� such as reputation, influence or credibility of information? And how does the REVEAL project approach; modality extraction and analysis, real-time modality extraction, on-demand analytics capabilities, event-driven architecture using RabbitMQ to communicate and processing based on a scalable STORM cluster (real-time) & standalone HTTP services (on-demand)?
Read more to find out!]]>
In this presentation Stuart Middleton describes the objectives and approach of trust and credibility analysis in the REVEAL Project.
How to enable users to reveal hidden 鈥榤odalities鈥� such as reputation, influence or credibility of information? And how does the REVEAL project approach; modality extraction and analysis, real-time modality extraction, on-demand analytics capabilities, event-driven architecture using RabbitMQ to communicate and processing based on a scalable STORM cluster (real-time) & standalone HTTP services (on-demand)?
Read more to find out!]]>
Wed, 20 May 2015 11:05:35 GMT/slideshow/www2015-workshoprdsm2015invited-talkv4/48379987revealeu@slideshare.net(revealeu)WWW2015 - RDSM2015 Workshop - Trust and Credibility AnalysisrevealeuIn this presentation Stuart Middleton describes the objectives and approach of trust and credibility analysis in the REVEAL Project.
How to enable users to reveal hidden 鈥榤odalities鈥� such as reputation, influence or credibility of information? And how does the REVEAL project approach; modality extraction and analysis, real-time modality extraction, on-demand analytics capabilities, event-driven architecture using RabbitMQ to communicate and processing based on a scalable STORM cluster (real-time) & standalone HTTP services (on-demand)?
Read more to find out!<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/www2015-workshop-rdsm2015-invitedtalk-v4-150520110535-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> In this presentation Stuart Middleton describes the objectives and approach of trust and credibility analysis in the REVEAL Project.
How to enable users to reveal hidden 鈥榤odalities鈥� such as reputation, influence or credibility of information? And how does the REVEAL project approach; modality extraction and analysis, real-time modality extraction, on-demand analytics capabilities, event-driven architecture using RabbitMQ to communicate and processing based on a scalable STORM cluster (real-time) & standalone HTTP services (on-demand)?
Read more to find out!
]]>
10303https://cdn.slidesharecdn.com/ss_thumbnails/www2015-workshop-rdsm2015-invitedtalk-v4-150520110535-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Geotagging Social Media Content with a Refined Language Modelling Approach
/slideshow/geotagging-social-media-content-with-a-refined-language-modelling-approach/48374941
reveal-geotagging-150517112254-lva1-app6892-150520084733-lva1-app6891 Presentation of a geotagging approach for social media content with a refined language modelling approach. Presented at PAISI workshop, co-located with PA-KDD 2015, Ho Chi Minh City, Vietnam]]>
Presentation of a geotagging approach for social media content with a refined language modelling approach. Presented at PAISI workshop, co-located with PA-KDD 2015, Ho Chi Minh City, Vietnam]]>
Wed, 20 May 2015 08:47:33 GMT/slideshow/geotagging-social-media-content-with-a-refined-language-modelling-approach/48374941revealeu@slideshare.net(revealeu)Geotagging Social Media Content with a Refined Language Modelling ApproachrevealeuPresentation of a geotagging approach for social media content with a refined language modelling approach. Presented at PAISI workshop, co-located with PA-KDD 2015, Ho Chi Minh City, Vietnam<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/reveal-geotagging-150517112254-lva1-app6892-150520084733-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Presentation of a geotagging approach for social media content with a refined language modelling approach. Presented at PAISI workshop, co-located with PA-KDD 2015, Ho Chi Minh City, Vietnam
]]>
5951https://cdn.slidesharecdn.com/ss_thumbnails/reveal-geotagging-150517112254-lva1-app6892-150520084733-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Mediarevealr: A social multimedia monitoring and intelligence system for Web multimedia verication
/slideshow/mediarevealr-a-social-multimedia-monitoring-and-intelligence-system-for-web-multimedia-verication/48282215
mediarevealr-150513092926-lva1-app6892-150518131556-lva1-app6892 Presentation by Symeon Papadopoulos - a framework for mining social and Web multimedia with the goal of supporting verification. Presented at PAISI workshop, co-located with PA-KDD 2015, Ho Chi Minh City, Vietnam.]]>
Presentation by Symeon Papadopoulos - a framework for mining social and Web multimedia with the goal of supporting verification. Presented at PAISI workshop, co-located with PA-KDD 2015, Ho Chi Minh City, Vietnam.]]>
Mon, 18 May 2015 13:15:56 GMT/slideshow/mediarevealr-a-social-multimedia-monitoring-and-intelligence-system-for-web-multimedia-verication/48282215revealeu@slideshare.net(revealeu)Mediarevealr: A social multimedia monitoring and intelligence system for Web multimedia vericationrevealeuPresentation by Symeon Papadopoulos - a framework for mining social and Web multimedia with the goal of supporting verification. Presented at PAISI workshop, co-located with PA-KDD 2015, Ho Chi Minh City, Vietnam.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mediarevealr-150513092926-lva1-app6892-150518131556-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Presentation by Symeon Papadopoulos - a framework for mining social and Web multimedia with the goal of supporting verification. Presented at PAISI workshop, co-located with PA-KDD 2015, Ho Chi Minh City, Vietnam.
]]>
9461https://cdn.slidesharecdn.com/ss_thumbnails/mediarevealr-150513092926-lva1-app6892-150518131556-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0 Cross-Media Konferenz "Think Cross - Change Media" in Magdeburg, Germany
https://de.slideshare.net/slideshow/ugc-verification-spangenbergcrossmediakonfshortsharedfinal/47195218
ugcverificationspangenbergcrossmediakonfshortsharedfinal-150420083021-conversion-gate02 Invited talk about what user-generated content means for the journalistic profession and how UGC is being verified, by Jochen Spangenberg (DW). He portrayed research challenges, business needs as well as developments to date. All this was done from the REVEAL project context ]]>
Invited talk about what user-generated content means for the journalistic profession and how UGC is being verified, by Jochen Spangenberg (DW). He portrayed research challenges, business needs as well as developments to date. All this was done from the REVEAL project context ]]>
Mon, 20 Apr 2015 08:30:21 GMThttps://de.slideshare.net/slideshow/ugc-verification-spangenbergcrossmediakonfshortsharedfinal/47195218revealeu@slideshare.net(revealeu) Cross-Media Konferenz "Think Cross - Change Media" in Magdeburg, GermanyrevealeuInvited talk about what user-generated content means for the journalistic profession and how UGC is being verified, by Jochen Spangenberg (DW). He portrayed research challenges, business needs as well as developments to date. All this was done from the REVEAL project context <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ugcverificationspangenbergcrossmediakonfshortsharedfinal-150420083021-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Invited talk about what user-generated content means for the journalistic profession and how UGC is being verified, by Jochen Spangenberg (DW). He portrayed research challenges, business needs as well as developments to date. All this was done from the REVEAL project context
]]>
112132https://cdn.slidesharecdn.com/ss_thumbnails/ugcverificationspangenbergcrossmediakonfshortsharedfinal-150420083021-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0News Impact Summit - Verification, Investigation and Digital Ethics 鈥� Hamburg, Germany
/slideshow/ignite-talk-reveal-hamburg/47194727
201503ignitetalkhhspangenberg-150420081927-conversion-gate02 News Impact Summit - Verification, Investigation and Digital Ethics 鈥� Hamburg, Germany. Organised by the European Journalism Centre (EJC) and the News Lab at Google. REVEAL presented an 鈥渋gnite talk鈥� by Jochen Spangenberg.]]>
News Impact Summit - Verification, Investigation and Digital Ethics 鈥� Hamburg, Germany. Organised by the European Journalism Centre (EJC) and the News Lab at Google. REVEAL presented an 鈥渋gnite talk鈥� by Jochen Spangenberg.]]>
Mon, 20 Apr 2015 08:19:27 GMT/slideshow/ignite-talk-reveal-hamburg/47194727revealeu@slideshare.net(revealeu)News Impact Summit - Verification, Investigation and Digital Ethics 鈥� Hamburg, GermanyrevealeuNews Impact Summit - Verification, Investigation and Digital Ethics 鈥� Hamburg, Germany. Organised by the European Journalism Centre (EJC) and the News Lab at Google. REVEAL presented an 鈥渋gnite talk鈥� by Jochen Spangenberg.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/201503ignitetalkhhspangenberg-150420081927-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> News Impact Summit - Verification, Investigation and Digital Ethics 鈥� Hamburg, Germany. Organised by the European Journalism Centre (EJC) and the News Lab at Google. REVEAL presented an 鈥渋gnite talk鈥� by Jochen Spangenberg.
]]>
6884https://cdn.slidesharecdn.com/ss_thumbnails/201503ignitetalkhhspangenberg-150420081927-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0TRIDEC and REVEAL projects: Geoparsing and Geosemantic knowledge model for trust and credibility analysis
/slideshow/tridec-and-revealogcgeosemanticsdwg2014v3/40824300
tridecandrevealogcgeosemanticsdwg2014v3-141028102725-conversion-gate01 Large-scale geoparsing of social media content and a geosemantic knowledge model for trust and credibility analysis. Original presentation was given to the OGC GeoSemantics Domain Working Group Meeting June 2014.
Author: Stuart E. Middleton, University of Southampton IT Innovation Centre, UK]]>
Large-scale geoparsing of social media content and a geosemantic knowledge model for trust and credibility analysis. Original presentation was given to the OGC GeoSemantics Domain Working Group Meeting June 2014.
Author: Stuart E. Middleton, University of Southampton IT Innovation Centre, UK]]>
Tue, 28 Oct 2014 10:27:25 GMT/slideshow/tridec-and-revealogcgeosemanticsdwg2014v3/40824300revealeu@slideshare.net(revealeu)TRIDEC and REVEAL projects: Geoparsing and Geosemantic knowledge model for trust and credibility analysisrevealeuLarge-scale geoparsing of social media content and a geosemantic knowledge model for trust and credibility analysis. Original presentation was given to the OGC GeoSemantics Domain Working Group Meeting June 2014.
Author: Stuart E. Middleton, University of Southampton IT Innovation Centre, UK<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tridecandrevealogcgeosemanticsdwg2014v3-141028102725-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Large-scale geoparsing of social media content and a geosemantic knowledge model for trust and credibility analysis. Original presentation was given to the OGC GeoSemantics Domain Working Group Meeting June 2014.
Author: Stuart E. Middleton, University of Southampton IT Innovation Centre, UK
]]>
8793https://cdn.slidesharecdn.com/ss_thumbnails/tridecandrevealogcgeosemanticsdwg2014v3-141028102725-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Reveal - Social Media Verification - poster
/slideshow/reveal-social-media-verification-brochure-40588483/40588483
revealpostera0v1-141022064354-conversion-gate02 The project
REVEAL focuses on verifi cation technologies, tools and strategies. It aims to develop tools, components and strategies that aid journalists and Enterprise Community
managers in identifying, assessing and verifying User Generated Content (UGC) on Social Networks.
Main Objectives
In REVEAL, we aim to reveal and analyse much more than bare content. The analysis framework for assessing the
credibility of information found in Social Networks is based on three main pillars: Contributor, Content and Context.
The analysis of the validity of Contributor concerns parameters such as trust, reputation and influence of an information source.
Content validity is expressed through parameters such as the language used, the history and possible manipulations performed on the content.
And finally, Context analysis examines whether the 鈥榳hat鈥�, 鈥榳hen鈥� and 鈥榳here鈥� of an online publication concur with each other.
Joint analysis of the validity of Contributor, Content and Context provides a more thorough approach for revealing truthfulness.
Challenges
REVEAL鈥檚 challenges include (but are not limited to):
- discover and analyse communities on Social Networks
- access, organise and sift through huge volumes of data from multiple Social Networks
- deduce contextual relationships
- discover provenance of information
- portray all this information in an intuitive way for users to work with
- contribute to the exercise of freedom of expression and access to information while safeguarding privacy
- doing all of this at scale and in real-time, supporting live breaking news stories.]]>
The project
REVEAL focuses on verifi cation technologies, tools and strategies. It aims to develop tools, components and strategies that aid journalists and Enterprise Community
managers in identifying, assessing and verifying User Generated Content (UGC) on Social Networks.
Main Objectives
In REVEAL, we aim to reveal and analyse much more than bare content. The analysis framework for assessing the
credibility of information found in Social Networks is based on three main pillars: Contributor, Content and Context.
The analysis of the validity of Contributor concerns parameters such as trust, reputation and influence of an information source.
Content validity is expressed through parameters such as the language used, the history and possible manipulations performed on the content.
And finally, Context analysis examines whether the 鈥榳hat鈥�, 鈥榳hen鈥� and 鈥榳here鈥� of an online publication concur with each other.
Joint analysis of the validity of Contributor, Content and Context provides a more thorough approach for revealing truthfulness.
Challenges
REVEAL鈥檚 challenges include (but are not limited to):
- discover and analyse communities on Social Networks
- access, organise and sift through huge volumes of data from multiple Social Networks
- deduce contextual relationships
- discover provenance of information
- portray all this information in an intuitive way for users to work with
- contribute to the exercise of freedom of expression and access to information while safeguarding privacy
- doing all of this at scale and in real-time, supporting live breaking news stories.]]>
Wed, 22 Oct 2014 06:43:54 GMT/slideshow/reveal-social-media-verification-brochure-40588483/40588483revealeu@slideshare.net(revealeu)Reveal - Social Media Verification - posterrevealeuThe project
REVEAL focuses on verifi cation technologies, tools and strategies. It aims to develop tools, components and strategies that aid journalists and Enterprise Community
managers in identifying, assessing and verifying User Generated Content (UGC) on Social Networks.
Main Objectives
In REVEAL, we aim to reveal and analyse much more than bare content. The analysis framework for assessing the
credibility of information found in Social Networks is based on three main pillars: Contributor, Content and Context.
The analysis of the validity of Contributor concerns parameters such as trust, reputation and influence of an information source.
Content validity is expressed through parameters such as the language used, the history and possible manipulations performed on the content.
And finally, Context analysis examines whether the 鈥榳hat鈥�, 鈥榳hen鈥� and 鈥榳here鈥� of an online publication concur with each other.
Joint analysis of the validity of Contributor, Content and Context provides a more thorough approach for revealing truthfulness.
Challenges
REVEAL鈥檚 challenges include (but are not limited to):
- discover and analyse communities on Social Networks
- access, organise and sift through huge volumes of data from multiple Social Networks
- deduce contextual relationships
- discover provenance of information
- portray all this information in an intuitive way for users to work with
- contribute to the exercise of freedom of expression and access to information while safeguarding privacy
- doing all of this at scale and in real-time, supporting live breaking news stories.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/revealpostera0v1-141022064354-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> The project
REVEAL focuses on verifi cation technologies, tools and strategies. It aims to develop tools, components and strategies that aid journalists and Enterprise Community
managers in identifying, assessing and verifying User Generated Content (UGC) on Social Networks.
Main Objectives
In REVEAL, we aim to reveal and analyse much more than bare content. The analysis framework for assessing the
credibility of information found in Social Networks is based on three main pillars: Contributor, Content and Context.
The analysis of the validity of Contributor concerns parameters such as trust, reputation and influence of an information source.
Content validity is expressed through parameters such as the language used, the history and possible manipulations performed on the content.
And finally, Context analysis examines whether the 鈥榳hat鈥�, 鈥榳hen鈥� and 鈥榳here鈥� of an online publication concur with each other.
Joint analysis of the validity of Contributor, Content and Context provides a more thorough approach for revealing truthfulness.
Challenges
REVEAL鈥檚 challenges include (but are not limited to):
- discover and analyse communities on Social Networks
- access, organise and sift through huge volumes of data from multiple Social Networks
- deduce contextual relationships
- discover provenance of information
- portray all this information in an intuitive way for users to work with
- contribute to the exercise of freedom of expression and access to information while safeguarding privacy
- doing all of this at scale and in real-time, supporting live breaking news stories.
]]>
3231https://cdn.slidesharecdn.com/ss_thumbnails/revealpostera0v1-141022064354-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=boundsdocumentBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Focused Exploration of Geospatial Context on Linked Open Data
/slideshow/iesd-gottron141020095803conversiongate01/40588270
iesd-gottron-141020095803-conversion-gate01-141022063800-conversion-gate02 Talk by Dr. Thomas Gottron at the IESD 2014 workshop in Riva del Garda (at ISWC).
Abstract The Linked Open Data cloud provides a wide range of different types of information which are interlinked and connected. When a user or application is interested in specific types of information under time constraints it is best to ex- plore this vast knowledge network in a focused and directed way. In this paper we address the novel task of focused exploration of Linked Open Data for geospatial resources, helping journalists in real-time during breaking news stories to find contextual geospatial information related to geoparsed content. After formalising the task of focused exploration, we present and evaluate five approaches based on three different paradigms. Our results on a dataset with 425,338 entities show that focused exploration on the Linked Data cloud is feasible and can be implemented at very high levels of accuracy of more than 98%.]]>
Talk by Dr. Thomas Gottron at the IESD 2014 workshop in Riva del Garda (at ISWC).
Abstract The Linked Open Data cloud provides a wide range of different types of information which are interlinked and connected. When a user or application is interested in specific types of information under time constraints it is best to ex- plore this vast knowledge network in a focused and directed way. In this paper we address the novel task of focused exploration of Linked Open Data for geospatial resources, helping journalists in real-time during breaking news stories to find contextual geospatial information related to geoparsed content. After formalising the task of focused exploration, we present and evaluate five approaches based on three different paradigms. Our results on a dataset with 425,338 entities show that focused exploration on the Linked Data cloud is feasible and can be implemented at very high levels of accuracy of more than 98%.]]>
Wed, 22 Oct 2014 06:38:00 GMT/slideshow/iesd-gottron141020095803conversiongate01/40588270revealeu@slideshare.net(revealeu)Focused Exploration of Geospatial Context on Linked Open DatarevealeuTalk by Dr. Thomas Gottron at the IESD 2014 workshop in Riva del Garda (at ISWC).
Abstract The Linked Open Data cloud provides a wide range of different types of information which are interlinked and connected. When a user or application is interested in specific types of information under time constraints it is best to ex- plore this vast knowledge network in a focused and directed way. In this paper we address the novel task of focused exploration of Linked Open Data for geospatial resources, helping journalists in real-time during breaking news stories to find contextual geospatial information related to geoparsed content. After formalising the task of focused exploration, we present and evaluate five approaches based on three different paradigms. Our results on a dataset with 425,338 entities show that focused exploration on the Linked Data cloud is feasible and can be implemented at very high levels of accuracy of more than 98%.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iesd-gottron-141020095803-conversion-gate01-141022063800-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Talk by Dr. Thomas Gottron at the IESD 2014 workshop in Riva del Garda (at ISWC).
Abstract The Linked Open Data cloud provides a wide range of different types of information which are interlinked and connected. When a user or application is interested in specific types of information under time constraints it is best to ex- plore this vast knowledge network in a focused and directed way. In this paper we address the novel task of focused exploration of Linked Open Data for geospatial resources, helping journalists in real-time during breaking news stories to find contextual geospatial information related to geoparsed content. After formalising the task of focused exploration, we present and evaluate five approaches based on three different paradigms. Our results on a dataset with 425,338 entities show that focused exploration on the Linked Data cloud is feasible and can be implemented at very high levels of accuracy of more than 98%.
]]>
5761https://cdn.slidesharecdn.com/ss_thumbnails/iesd-gottron-141020095803-conversion-gate01-141022063800-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0REVEAL - Social Media Verification - brochure
/slideshow/reveal-social-media-verification-brochure/37241905
revealbrochureslideshare-140722095703-phpapp02 Content that is posted on and shared via Social Media networks has had a profound effect on how we communicate. It changed the way information is spread and consumed dramatically. This also had significant impacts on traditional ways of information gathering and distribution.
Social Media can have both positive and negative effects. It can be used for various purposes, ranging from effective disaster management to news reporting and the intentional spreading of false information such as propaganda or marketing.
In order to better evaluate and classify content residing in Social Networks, it is necessary to filter and assess its information value in terms of credibility, trustworthiness, reputation, popularity, influence, authenticity and proximity.
What is the REVEAL project about?
REVEAL focuses on verification technologies, tools and strategies. It aims to develop tools, components and strategies that aid journalists and enterprise community managers in identifying, assessing and verifying User Generated Content (UGC) on Social Networks.
In REVEAL, we aim to reveal and analyse much more than bare content. The analysis framework for assessing the credibility of information found in Social Networks is based on three main pillars: Contributor, Content and Context.
Joint analysis of the validity of Contributor, Content and Context provides a more thorough approach for revealing truthfulness.]]>
Content that is posted on and shared via Social Media networks has had a profound effect on how we communicate. It changed the way information is spread and consumed dramatically. This also had significant impacts on traditional ways of information gathering and distribution.
Social Media can have both positive and negative effects. It can be used for various purposes, ranging from effective disaster management to news reporting and the intentional spreading of false information such as propaganda or marketing.
In order to better evaluate and classify content residing in Social Networks, it is necessary to filter and assess its information value in terms of credibility, trustworthiness, reputation, popularity, influence, authenticity and proximity.
What is the REVEAL project about?
REVEAL focuses on verification technologies, tools and strategies. It aims to develop tools, components and strategies that aid journalists and enterprise community managers in identifying, assessing and verifying User Generated Content (UGC) on Social Networks.
In REVEAL, we aim to reveal and analyse much more than bare content. The analysis framework for assessing the credibility of information found in Social Networks is based on three main pillars: Contributor, Content and Context.
Joint analysis of the validity of Contributor, Content and Context provides a more thorough approach for revealing truthfulness.]]>
Tue, 22 Jul 2014 09:57:03 GMT/slideshow/reveal-social-media-verification-brochure/37241905revealeu@slideshare.net(revealeu)REVEAL - Social Media Verification - brochurerevealeuContent that is posted on and shared via Social Media networks has had a profound effect on how we communicate. It changed the way information is spread and consumed dramatically. This also had significant impacts on traditional ways of information gathering and distribution.
Social Media can have both positive and negative effects. It can be used for various purposes, ranging from effective disaster management to news reporting and the intentional spreading of false information such as propaganda or marketing.
In order to better evaluate and classify content residing in Social Networks, it is necessary to filter and assess its information value in terms of credibility, trustworthiness, reputation, popularity, influence, authenticity and proximity.
What is the REVEAL project about?
REVEAL focuses on verification technologies, tools and strategies. It aims to develop tools, components and strategies that aid journalists and enterprise community managers in identifying, assessing and verifying User Generated Content (UGC) on Social Networks.
In REVEAL, we aim to reveal and analyse much more than bare content. The analysis framework for assessing the credibility of information found in Social Networks is based on three main pillars: Contributor, Content and Context.
Joint analysis of the validity of Contributor, Content and Context provides a more thorough approach for revealing truthfulness.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/revealbrochureslideshare-140722095703-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Content that is posted on and shared via Social Media networks has had a profound effect on how we communicate. It changed the way information is spread and consumed dramatically. This also had significant impacts on traditional ways of information gathering and distribution.
Social Media can have both positive and negative effects. It can be used for various purposes, ranging from effective disaster management to news reporting and the intentional spreading of false information such as propaganda or marketing.
In order to better evaluate and classify content residing in Social Networks, it is necessary to filter and assess its information value in terms of credibility, trustworthiness, reputation, popularity, influence, authenticity and proximity.
What is the REVEAL project about?
REVEAL focuses on verification technologies, tools and strategies. It aims to develop tools, components and strategies that aid journalists and enterprise community managers in identifying, assessing and verifying User Generated Content (UGC) on Social Networks.
In REVEAL, we aim to reveal and analyse much more than bare content. The analysis framework for assessing the credibility of information found in Social Networks is based on three main pillars: Contributor, Content and Context.
Joint analysis of the validity of Contributor, Content and Context provides a more thorough approach for revealing truthfulness.
]]>
5073https://cdn.slidesharecdn.com/ss_thumbnails/revealbrochureslideshare-140722095703-phpapp02-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0https://cdn.slidesharecdn.com/profile-photo-revealeu-48x48.jpg?cb=1523501523We develop tools and services that aid in Social Media verification. Verification from a journalistic and enterprise perspective.revealproject.euhttps://cdn.slidesharecdn.com/ss_thumbnails/esrc-seminar-it-innovation-v2-161101111952-thumbnail.jpg?width=320&height=320&fit=boundsslideshow/geoparsing-and-realtime-social-media-analytics-technical-and-social-challenges/67985812Geoparsing and Real-ti...https://cdn.slidesharecdn.com/ss_thumbnails/snow2016-presentation-reveal-v3-160509120014-thumbnail.jpg?width=320&height=320&fit=boundsrevealeu/snow-2016-presentationVeracity & Velocity of...https://cdn.slidesharecdn.com/ss_thumbnails/www2015-workshop-rdsm2015-invitedtalk-v4-151005112822-lva1-app6892-thumbnail.jpg?width=320&height=320&fit=boundsslideshow/reveal-project-trust-and-credibility-analysis/53544182REVEAL Project - Trust...