Accession Number : AD1007384


Title :   Assessing Trustworthiness in Social Media: A Social Computing Approach


Descriptive Note : Technical Report,01 Nov 2011,31 May 2015


Corporate Author : Arizona State University Tempe United States


Personal Author(s) : Liu,Huan


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1007384.pdf


Report Date : 17 Nov 2015


Pagination or Media Count : 34


Abstract : Social media is gaining popularity in recent years and increasingly becoming an integral part of our life. Given the extensiveness, instantaneity, and diffusion speed of social media, e.g., a tweet or a clip of video, could galvanize a digital revolution or wreak havoc with one's otherwise routine and uneventful working life. With the presence of adversaries, the convenient use of and low barrier of social media brings about new challenges. How well we address these challenges can directly influence our ability to manage information and misinformation, and the future role of social media as a reliable communication mechanism. One such pressing challenge is to assess information trustworthiness in social media. We propose to investigate research issues related to social media trustworthiness and its assessment by leveraging social research methods, developing new computational social methods, and creating novel approaches to social media data collection and sharing.


Descriptors :   social media , social networks , data mining , information retrieval , algorithms


Distribution Statement : APPROVED FOR PUBLIC RELEASE