Fake News and Untrustful Social Accounts
Online social media (OSM) allows people to share news, create content and start trends, potentially influencing large sectors of the population. Unfortunately, several organizations and individuals take advantage of the OSM in order to gain influence, damage competitor’s reputation, or spread political propaganda by financing misinformation campaigns. In many cases, these campaigns are carried out by armies of online untrustful accounts, which can be operated by humans, computer programs, or even a combination of the two.
In recent years, several approaches to identify untrustful accounts, as well as misinformation campaigns, have been proposed. However, misinformation is still reported to proliferate on the Web.
In this study, we investigate novel approaches to estimate the level of manipulation within online discussion based on the detection of un-trustful accounts. The proposed approaches are evaluated using multiple available datasets collected from Twitter. The data collected for this study includes manually labeled trustful and un-trustful accounts that participated in crowdturfing platforms.
Source code: GitHub
Fake News and Untrustful Social Accounts
References and Links to Papers
Aviad Elyashar, Jorge Augusto Bendahan, Amparo Maria Sanmateu, Rami Puzis, "Measurement of Online Discussion Authenticity within Online Social Media" ,ASONAM (2017) ,Sydney, Australia. [google]
Aviad Elyashar, Jorge Augusto Bendahan, Rami Puzis, "Is the News Deceptive? Fake News Detection using Topic Authenticity" ,SOTICS (2017) . [google]
Luiza Nacshon, Rami Puzis, Amparo Sanmateu, Chanan Glezer, "DiffTrack: Pinpointing Key-Posts of Influence Within Discussion Topics in Social Media" ,ICSMM`17 (2017) . [google]
Aviad Elyashar, Jorge A. Bendahan, Rami Puzis, (2017) "Detecting Clickbait in Online Social Media: You Won't Believe How We Did It", arXiv preprint arXiv:1710.06699
Abigail Paradise, Asaf Shabtai, Rami Puzis, "Socialbots" ,Encyclopedia of Social Network Analysis & Mining (ESNAM), 2nd edition ,Reda Alhajj ,Springer (2017).
Abigail Paradise, Dvir Cohen, Rami Puzis, Asaf Shabtai, "ProfileGen: Generation of Automatic and Realistic Artificial Profiles" ,ASONAM (2018) .
Aviad Elyashar, Maor Reuben, Rami Puzis, "Iterative Keyword Optimization" ,SBP-BRiMS (2019) ,Washington DC, USA.
Aviad Elyashar, Sagi Uziel, Abigail Paradise, Rami Puzis, "The Chameleon Attack: Manipulating Content Display in Online Social Media " ,The Web Conference (WWW) (2020) ,Taipei, Taiwan.
Aviad Elyshar, Maor Reuben, Rami Puzis, "Iterative Query Selection for Opaque Search Engines with Pseudo Relevance Feedback" ,Expert Systems with Applications ,201 ,117027 (2022) .
Aviad Elyashar, Maor Reuben, Asaf Shabtai, Rami Puzis, "Social Network Analysis for Disinformation Detection" ,Machine Learning for Data Science Handbook ,Lior Rokach, Oded Maimon, Erez Shmueli ,Springer ,681-701 (2023)
Maor Reuben, Lisa Friedland, Rami Puzis, Nir Greenberg, "Leveraging Exposure Networks for Detecting Fake News Sources" ,KDD (2024) ,Barcelona, Spain.