ABSTRACT
Social media has become an important part of modern-day communication. Advantages span from instant communication via direct messages to sharing and consuming content and experiences. Lately, social media applications have been criticized for assisting the spreading of harmful or fake news and distorting reality by enabling unauthentic self-representation. It is often argued, that social media platforms are solely responsible for these challenges and for offering solutions. This research uses the notion of a digital footprint, a codified representation of a user's social media engagement, to facilitate user reflection. This footprint, however, is mostly a product of the user's deliberate and conscious engagement. This paper argues that users also have a responsibility in addressing the above-mentioned challenges by increasing their awareness of their social media usage. This paper presents a study with close to 300 participants investigating if they are aware of their digital footprint in social media. The paper presents the overall challenges, as well as experimental design and results, with the goal of motivating further debate regarding user awareness of their social media usage.
- Jennifer Aaker and Andy Smith. 2010. The dragonfly effect: Quick, effective, and powerful ways to use social media to drive social change. John Wiley & Sons, San Francisco.Google Scholar
- Hunt, Allcott and Matthew Gentzkow. 2017. Social media and fake news in the 2016 election. Journal of Economic Perspectives 31, 2 (June, 2017), 211--236.Google Scholar
- Steven C. Bennett. 2012. The right to be forgotten: Reconciling EU and US perspectives. Berkeley J. Int'l L. 30 (2012), 161.Google Scholar
- Sandra L. Borden and Chad Tew. 2007. The role of journalist and the performance of journalism: Ethical lessons from "fake" news (seriously). Journal of Mass Media Ethics 22, 4 (2007), 300--314.Google Scholar
- Qiang Cao, Michael Sirivianos, Xiaowei Yang, and Tiago Preguiero. Aiding the detection of fake accounts in large scale social online services. In Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation. USENIX Association, 2012. Google ScholarDigital Library
- Citron, Danielle Keats, and Mary Anne Franks. "Criminalizing revenge porn." (2014).Google Scholar
- Diakopoulos, Nicholas, Mor Naaman, and Funda Kivran-Swaine. "Diamonds in the rough: Social media visual analytics for journalistic inquiry." Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on. IEEE, 2010.Google Scholar
- Flaxman, Seth, Sharad Goel, and Justin M. Rao. "Filter bubbles, echo chambers, and online news consumption." Public Opinion Quarterly 80.S1 (2016): 298--320.Google ScholarCross Ref
- Fuchs, Christian (2014). Social Media a critical introduction. SAGE. UK Google ScholarDigital Library
- Gerlitz, Carolin, and Anne Helmond. "The like economy: Social buttons and the data-intensive web." New Media & Society 15.8 (2013): 1348--1365.Google ScholarCross Ref
- Goffman, Erving. "The presentation of self." Life as theater: A dramaturgical sourcebook (2006).Google Scholar
- Gomez-Rodriguez, Manuel, Krishna P. Gummadi, and Bernhard Schoelkopf. "Quantifying Information Overload in Social Media and Its Impact on Social Contagions." ICWSM. 2014.Google Scholar
- Heer, Jeffrey, and Danah Boyd. "Vizster: Visualizing online social networks." Information Visualization, 2005. INFOVIS 2005. IEEE Symposium on. IEEE, 2005. Google ScholarDigital Library
- Hogan, Bernie, Juan Antonio Carrasco, and Barry Wellman. "Visualizing personal networks: working with participant-aided sociograms." Field Methods 19.2 (2007): 116--144.Google ScholarCross Ref
- Jasny, Lorien, Joseph Waggle, and Dana R. Fisher. "An empirical examination of echo chambers in US climate policy networks." Nature Climate Change 5.8 (2015): 782--786.Google ScholarCross Ref
- Jawaheer, Gawesh, Peter Weller, and Patty Kostkova. "Modeling user preferences in recommender systems: A classification framework for explicit and implicit user feedback." ACM Transactions on Interactive Intelligent Systems (TiiS) 4.2 (2014): 8. Google ScholarDigital Library
- Kay, Judy. "Scrutable adaptation: Because we can and must." Adaptive hypermedia and adaptive web-based systems. Springer Berlin/Heidelberg, 2006. Google ScholarDigital Library
- Kawasaki, Charles. "Method and system for generating and using a computer user's personal interest profile." U.S. Patent No. 6,539,375. 25 Mar. 2003.Google Scholar
- Kim, Young Ae, and Muhammad A. Ahmad. "Trust, distrust and lack of confidence of users in online social media-sharing communities." Knowledge-Based Systems 37 (2013): 438--450. Google ScholarDigital Library
- Kietzmann, Jan H., et al. "Social media? Get serious! Understanding the functional building blocks of social media." Business horizons 54.3 (2011): 241--251.Google ScholarCross Ref
- Palfreyman, Kevin, and Tom Rodden. "A protocol for user awareness on the World Wide Web." Proceedings of the 1996 ACM conference on Computer supported cooperative work. ACM, 1996. Google ScholarDigital Library
- Pariser, Eli. The filter bubble: What the Internet is hiding from you. Penguin UK, 2011. Google ScholarDigital Library
- Pollack, Martha E., Julia Hirschberg, and Bonnie Webber. User participation in the reasoning processes of expert systems. University of Pennsylvania, 1982.Google Scholar
- Rosen, Jeffrey. "The right to be forgotten." Stan. L. Rev. Online 64 (2011): 88.Google Scholar
- Shneiderman, Ben. "Direct manipulation for comprehensible, predictable and controllable user interfaces." Proceedings of the 2nd international conference on Intelligent user interfaces. ACM, 1997. Google ScholarDigital Library
- Siapera, Moreo and Viejo (2018). Hate Speech in social media. Pending of publication.Google Scholar
- Van Iddekinge, Chad H., et al. "Social media for selection? Validity and adverse impact potential of a Facebook-based assessment." Journal of Management 42.7 (2016): 1811--1835.Google ScholarCross Ref
Index Terms
- The BigFoot Initiative: An Investigation of Digital Footprint Awareness in Social Media
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