A4 Article in conference proceedings

Taking Back Control of Social Media Feeds with Take Back Control




List of Authors: Salminen Joni, Corporan Juan, Jung Soon-Gyo, Jansen Bernard J.

Conference name: International Symposium on Innovations in Intelligent Systems and Applications

Publication year: 2021

Book title *: 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)

ISBN: 978-1-6654-1162-2

eISBN: 978-1-6654-3603-8

DOI: http://dx.doi.org/10.1109/INISTA52262.2021.9548614


Abstract

Controlling the quality of social media feeds poses an issue for many users. Platforms such as Twitter give users some options to influence their feeds. Still, the selection of content predominantly relies on implicit rather than explicit user actions, as manual options for "cleaning the feed" are often cumbersome and difficult to use for most users. Here, we present Take Back Control, a web browser extension that gives users control to hide undesirable content from their social media feeds. The extension combines JavaScript (for hiding the content) and machine learning (for deciding what content to hide). Our current demonstration includes three filter types: Toxic, Political, and Negative content, with a possibility to add more filters, all of this with the overarching aim of helping end users control the information visible in their social media feeds.


Last updated on 2021-21-10 at 11:24