A tool for collecting provenance data in social media

Gundecha, Pritam; Ranganath, Suhas; Feng, Zhuo; Liu, Huan

doi:10.1145/2487575.2487713

Cited by 29 publications

(19 citation statements)

References 5 publications

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“…As a preliminary study, I designed a novel web based tool [34] for collecting attribute values of interest associated with a particular social media user. I refer to these attributes as Provenance Attributes and the tool as Provenance Data Collector.…”

Section: User's Vulnerability Across Platformsmentioning

confidence: 99%

Managing a User's Vulnerability on a Social Networking Site

Gundecha¹

2015

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Section: User's Vulnerability Across Platformsmentioning

confidence: 99%

Managing a User's Vulnerability on a Social Networking Site

Gundecha¹

2015

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“…Another line of research [2,8] has shown that many attributes of a user, called as Provenance Attributes, can be collected from social media. Provenance attributes of a user may include name, location, gender, occupation, and political and religious affiliations.…”

Section: Related Workmentioning

confidence: 99%

Seeking provenance of information using social media

Gundecha

Feng

Liu

2013

Proceedings of the 22nd ACM International Conference on Conference on Information &Amp; Knowledge Management - CIKM '13

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Social media propagates breaking news and disinformation alike fast and on an unsurpassed scale. Because of its democratizing nature, social media users can easily produce, receive, and propagate a piece of information without necessarily providing traceable information. Thus, there is no means for a user to verify the provenance (aka sources or originators) of information. The disinformation can cause tragic consequences to society and individuals. This work aims to take advantage of characteristics of social media to provide a solution to the problem of lacking traceable information. Such knowledge can provide additional context to the received information so that a user can assess how much value, trust, and validity should be placed on it. In this paper, we are studying a novel research problem that facilitates the seeking of the provenance of information for a few known recipients (less than 1% of the total recipients) by recovering the paths it has taken from its originators. The proposed methodology exploits easily computable node centralities of a large social media network. The experimental results with Facebook and Twitter datasets show that the proposed mechanism is effective in correctly identifying the additional recipients and seeking the provenance of information.

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“…The meta information such as the list of tweets and users are also given. Using this information, users can find the most active propagators of the information and their provenance information such as political affiliation and interests using tools proposed in [4]. For example, the account of one of the most active users, 16, leans very strongly towards hardline nationalism.…”

Section: Demonstrationmentioning

confidence: 99%

“…Provenance Attributes relates to the qualification and affiliation of the users along the path, giving an idea about their relevance and reliability for a given piece of information. A tool to seek provenance attribute information is presented in [4]. Provenance Path relates to the origins, custody chain and the ownership of the information, enabling the user to assess the reliability of the source, the relation between the origin and ownership and the users influencing information propagation.…”

Section: Introductionmentioning

confidence: 99%

A tool for assisting provenance search in social media

Ranganath

Gundecha

Liu

2013

Proceedings of the 22nd ACM International Conference on Conference on Information &Amp; Knowledge Management - CIKM '13

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In recent years, social media sites are witnessing an information explosion. Determining the reliability of such a large amount of information is a major area of research. Information provenance (aka, sources or origin) provides a way to measure the reliability of information in social networks. The main challenge in seeking provenance is the availability of suitable data consisting of sufficient unique propagation paths. Knowledge of the actual propagation paths for a piece of information will be a valuable asset in provenance search. This paper presents a tool for capturing the propagation network of a given tweet or URL (Uniform Resource Locator) in the Twitter network. Researchers can use this tool to collect information propagation data, design effective strategies for determining the provenance, and gain information about the tweet such as impact, growth rate and users influencing the spread. Two case studies are presented to demonstrate the effectiveness of the system for seeking provenance information.

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A tool for collecting provenance data in social media

Cited by 29 publications

References 5 publications

Managing a User's Vulnerability on a Social Networking Site

Managing a User's Vulnerability on a Social Networking Site

Seeking provenance of information using social media

A tool for assisting provenance search in social media

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