Rahul Bhargava
Neil S. Gaikwad
ABSTRACT
In recent years, there has been an unprecedented growth in content that is shared and presented on social media platforms. Along with this growth, however, there is an increasing concern over the lack of control social media users have on the content they are shown by invisible algorithms. In this paper, we introduce Gobo, an open-source social media browser system that enables users to manage and filter content from multiple platforms on their own. Gobo aims to help users control what's hidden from their feeds, add perspectives from outside their network to help them break filter bubbles, and explore why they see certain content on their feed. Through an iterative design process, we've built and deployed Gobo in the wild and conducted a pilot study in the form of a survey to understand how the users respond to the shift of control from invisible algorithms to themselves. Our initial findings suggest that Gobo has potential to provide an alternate design space to enhance control, transparency, and explainability in social media.
References-
Engin Bozdag. Bias in algorithmic filtering and personalization. Ethics and information technology 15.3, 2013: 209--227.
Google Scholar
-
Nicholas Diakopoulos. Algorithmic accountability: Journalistic investigation of computational power structures. Digital journalism 3.3, 2015: 398--415.
Google Scholar
Cross Ref
-
Nicholas Diakopoulos. Algorithmic accountability reporting: On the investigation of black boxes. (2014).
Google Scholar
-
Robert Faris Hal Roberts, Bruce Etling, Nikki Bourassa, Ethan Zuckerman, and Yochai Benkler. Partisanship, propaganda, and disinformation: Online media and the 2016 US presidential election.", 2017.
Google Scholar
-
Megan Farokhmanesh, YouTube is still restricting and demonetizing LGBT videos - and adding anti-LGBT ads to some, The Verge 2018 https://www.theverge.com/2018/6/4/17424472/youtube-lgbt-demonetization-ads-algorithm URL Accessed 06/26/2019
Google Scholar
-
Joseph L. Fleiss and Jacob Cohen. "The equivalence of weighted kappa and the intraclass correlation coefficient as measures of reliability." Educational and psychological measurement 33, no. 3 (1973): 613--619.
Google Scholar
-
David M. J. Lazer, Matthew A. Baum, Yochai Benkler, Adam J. Berinsky, Kelly M. Greenhill, Filippo Menczer, Miriam J. Metzger, Brendan Nyhan, Gordon Pennycook, David Rothschild, Michael Schudson, Steven A. Sloman, Cass R. Sunstein, Emily A. Thorson, Duncan J. Watts, Jonathan L. Zittrain, The science of fake news. Science 359, no. 6380 (2018): 1094--1096.
Google Scholar
Cross Ref
-
Solomon Messing, and Sean J. Westwood. Selective exposure in the age of social media: Endorsements trump partisan source affiliation when selecting news online. Communication research 41.8 (2014): 1042--1063.
Google Scholar
-
Eslami Motahhare, Aimee Rickman, Kristen Vaccaro, Amirhossein Aleyasen, Andy Vuong, Karrie Karahalios, Kevin Hamilton, and Christian Sandvig. I always assumed that I wasn't really that close to [her]: Reasoning about Invisible Algorithms in News Feeds. In Proceedings of the 33rd annual ACM conference on human factors in computing systems, pp. 153--162. ACM, 2015.
Google Scholar
-
Eslami Motahhare, Karrie Karahalios, Christian Sandvig, Kristen Vaccaro, Aimee Rickman, Kevin Hamilton, and Alex Kirlik. First i like it, then i hide it: Folk theories of social feeds. In Proceedings of the 2016 cHI conference on human factors in computing systems, pp. 2371--2382. ACM, 2016.
Google Scholar
-
Donald A. Norman. How might people interact with agents. Communications of the ACM 37, no. 7 (1994): 68--71.
Google Scholar
Digital Library
-
Eli Pariser. The filter bubble: What the Internet is hiding from you. Penguin UK, 2011.
Google Scholar
Digital Library
-
Dev Patnaik and Robert Becker. Needfinding: the why and how of uncovering people's needs. Design Management Journal (Former Series) 10, no. 2 (1999): 37--43.
Google Scholar
-
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin. Why should i trust you?: Explaining the predictions of any classifier. Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining. ACM, 2016.
Google Scholar
Digital Library
-
Chase Ross Tweet. Do not let YouTube Get Away With This https://twitter.com/ChaseRoss/status/1001922360600137728/photo/1 URL Accessed 06/26/2019
Google Scholar
-
Nicholas Valentino, Antoine J. Banks, Vincent L. Hutchings, and Anne K. Davis. Selective exposure in the Internet age: The interaction between anxiety and information utility. Political Psychology 30, no. 4 (2009): 591--613.
Google Scholar
Cross Ref
-
Soroush Vosoughi, Deb Roy, and Sinan Aral. The spread of true and false news online. Science 359, no. 6380 (2018): 1146--1151.
Google Scholar
Digital Library
-
Published in