Literature DB >> 30082310

The public accountability of social platforms: lessons from a study on bots and trolls in the Brexit campaign.

Marco Bastos1, Dan Mercea2.   

Abstract

In this article, we review our study of 13 493 bot-like Twitter accounts that tweeted during the UK European Union membership referendum debate and disappeared from the platform after the ballot. We discuss the methodological challenges and lessons learned from a study that emerged in a period of increasing weaponization of social media and mounting concerns about information warfare. We address the challenges and shortcomings involved in bot detection, the extent to which disinformation campaigns on social media are effective, valid metrics for user exposure, activation and engagement in the context of disinformation campaigns, unsupervised and supervised posting protocols, along with infrastructure and ethical issues associated with social sciences research based on large-scale social media data. We argue for improving researchers' access to data associated with contentious issues and suggest that social media platforms should offer public application programming interfaces to allow researchers access to content generated on their networks. We conclude with reflections on the relevance of this research agenda to public policy.This article is part of a discussion meeting issue 'The growing ubiquity of algorithms in society: implications, impacts and innovations'.
© 2018 The Author(s).

Keywords:  accountability; application programming interfaces; automation; bots; social platforms; trolls

Year:  2018        PMID: 30082310      PMCID: PMC6107543          DOI: 10.1098/rsta.2018.0003

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  2 in total

Review 1.  Attitude change: persuasion and social influence.

Authors:  W Wood
Journal:  Annu Rev Psychol       Date:  2000       Impact factor: 24.137

2.  The dynamics of protest recruitment through an online network.

Authors:  Sandra González-Bailón; Javier Borge-Holthoefer; Alejandro Rivero; Yamir Moreno
Journal:  Sci Rep       Date:  2011-12-15       Impact factor: 4.379

  2 in total
  5 in total

1.  Noise, Fake News, and Tenacious Bayesians.

Authors:  Dorje C Brody
Journal:  Front Psychol       Date:  2022-05-03

2.  Botometer 101: social bot practicum for computational social scientists.

Authors:  Kai-Cheng Yang; Emilio Ferrara; Filippo Menczer
Journal:  J Comput Soc Sci       Date:  2022-08-20

3.  The footprint of campaign strategies in Farsi Twitter: A case for 2021 Iranian presidential election.

Authors:  Saeedeh Mohammadi; Parham Moradi; S Mahdi Firouzabadi; Gholamreza Jafari
Journal:  PLoS One       Date:  2022-07-28       Impact factor: 3.752

4.  How disinformation operations against Russian opposition leader Alexei Navalny influence the international audience on Twitter.

Authors:  Iuliia Alieva; J D Moffitt; Kathleen M Carley
Journal:  Soc Netw Anal Min       Date:  2022-07-14

5.  The growing ubiquity of algorithms in society: implications, impacts and innovations.

Authors:  S C Olhede; P J Wolfe
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2018-09-13       Impact factor: 4.226

  5 in total

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