b'@online{Wang_arXiv2009.11792,'b'\nTITLE = {Understanding the Use of Fauxtography on Social Media},\nAUTHOR = {Wang, Yuping and Tahmasbi, Fatemeh and Blackburn, Jeremy and Bradlyn, Barry and De Cristofaro, Emiliano and Magerman, David and Zannettou, Savvas and Stringhini, Gianluca},\nLANGUAGE = {eng},\nURL = {https://arxiv.org/abs/2009.11792},\nEPRINT = {2009.11792},\nEPRINTTYPE = {arXiv},\nYEAR = {2020},\nABSTRACT = {Despite the influence that image-based communication has on online discourse,<br>the role played by images in disinformation is still not well understood. In<br>this paper, we present the first large-scale study of fauxtography, analyzing<br>the use of manipulated or misleading images in news discussion on online<br>communities. First, we develop a computational pipeline geared to detect<br>fauxtography, and identify over 61k instances of fauxtography discussed on<br>Twitter, 4chan, and Reddit. Then, we study how posting fauxtography affects<br>engagement of posts on social media, finding that posts containing it receive<br>more interactions in the form of re-shares, likes, and comments. Finally, we<br>show that fauxtography images are often turned into memes by Web communities.<br>Our findings show that effective mitigation against disinformation need to take<br>images into account, and highlight a number of challenges in dealing with<br>image-based disinformation.<br>},\n}\n'