Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/636320
Title: Detecting Rumors Through Modeling Information Propagation Networks in a Social Media Environment
Authors: Yang Liu;Songhua Xu
subject: Heterogeneous user representation and modeling|information propagation model|rumor detection|information credibility in social media
Year: 2016
Publisher: IEEE
Abstract: In the midst of today's pervasive influence of social media content and activities, information credibility has increasingly become a major issue. Accordingly, identifying false information, e.g., rumors circulated in social media environments, attracts expanding research attention and growing interests. Many previous studies have exploited user-independent features for rumor detection. These prior investigations uniformly treat all users relevant to the propagation of a social media message as instances of a generic entity. Such a modeling approach usually adopts a homogeneous network to represent all users, the practice of which ignores the variety across an entire user population in a social media environment. Recognizing this limitation in modeling methodologies, this paper explores user-specific features in a social media environment for rumor detection. The new approach hypothesizes whether a user tending to spread a rumor message is dependent on specific attributes of the user in addition to content characteristics of the message itself. Under this hypothesis, the information propagation patterns of rumors versus those of credible messages in a social media environment are differentiable. To explore and exploit this hypothesis, we develop a new information propagation model based on a heterogeneous user representation and modeling approach. By applying the new approach, we are able to differentiate rumors from credible messages through observing distinctions in their respective propagation patterns in social media. The experimental results show that the new information propagation model based on heterogeneous user representation can effectively distinguish rumors from credible social media content. Our experimental findings further show that rumors are more likely to spread among certain user groups.
Description: 
URI: http://localhost/handle/Hannan/168152
http://localhost/handle/Hannan/636320
ISSN: 2329-924X
volume: 3
issue: 2
Appears in Collections:2016

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Title: Detecting Rumors Through Modeling Information Propagation Networks in a Social Media Environment
Authors: Yang Liu;Songhua Xu
subject: Heterogeneous user representation and modeling|information propagation model|rumor detection|information credibility in social media
Year: 2016
Publisher: IEEE
Abstract: In the midst of today's pervasive influence of social media content and activities, information credibility has increasingly become a major issue. Accordingly, identifying false information, e.g., rumors circulated in social media environments, attracts expanding research attention and growing interests. Many previous studies have exploited user-independent features for rumor detection. These prior investigations uniformly treat all users relevant to the propagation of a social media message as instances of a generic entity. Such a modeling approach usually adopts a homogeneous network to represent all users, the practice of which ignores the variety across an entire user population in a social media environment. Recognizing this limitation in modeling methodologies, this paper explores user-specific features in a social media environment for rumor detection. The new approach hypothesizes whether a user tending to spread a rumor message is dependent on specific attributes of the user in addition to content characteristics of the message itself. Under this hypothesis, the information propagation patterns of rumors versus those of credible messages in a social media environment are differentiable. To explore and exploit this hypothesis, we develop a new information propagation model based on a heterogeneous user representation and modeling approach. By applying the new approach, we are able to differentiate rumors from credible messages through observing distinctions in their respective propagation patterns in social media. The experimental results show that the new information propagation model based on heterogeneous user representation can effectively distinguish rumors from credible social media content. Our experimental findings further show that rumors are more likely to spread among certain user groups.
Description: 
URI: http://localhost/handle/Hannan/168152
http://localhost/handle/Hannan/636320
ISSN: 2329-924X
volume: 3
issue: 2
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7587433.pdf3.34 MBAdobe PDFThumbnail
Preview File
Title: Detecting Rumors Through Modeling Information Propagation Networks in a Social Media Environment
Authors: Yang Liu;Songhua Xu
subject: Heterogeneous user representation and modeling|information propagation model|rumor detection|information credibility in social media
Year: 2016
Publisher: IEEE
Abstract: In the midst of today's pervasive influence of social media content and activities, information credibility has increasingly become a major issue. Accordingly, identifying false information, e.g., rumors circulated in social media environments, attracts expanding research attention and growing interests. Many previous studies have exploited user-independent features for rumor detection. These prior investigations uniformly treat all users relevant to the propagation of a social media message as instances of a generic entity. Such a modeling approach usually adopts a homogeneous network to represent all users, the practice of which ignores the variety across an entire user population in a social media environment. Recognizing this limitation in modeling methodologies, this paper explores user-specific features in a social media environment for rumor detection. The new approach hypothesizes whether a user tending to spread a rumor message is dependent on specific attributes of the user in addition to content characteristics of the message itself. Under this hypothesis, the information propagation patterns of rumors versus those of credible messages in a social media environment are differentiable. To explore and exploit this hypothesis, we develop a new information propagation model based on a heterogeneous user representation and modeling approach. By applying the new approach, we are able to differentiate rumors from credible messages through observing distinctions in their respective propagation patterns in social media. The experimental results show that the new information propagation model based on heterogeneous user representation can effectively distinguish rumors from credible social media content. Our experimental findings further show that rumors are more likely to spread among certain user groups.
Description: 
URI: http://localhost/handle/Hannan/168152
http://localhost/handle/Hannan/636320
ISSN: 2329-924X
volume: 3
issue: 2
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7587433.pdf3.34 MBAdobe PDFThumbnail
Preview File