Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
119 tokens/sec
GPT-4o
56 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
6 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Bots, #StrongerIn, and #Brexit: Computational Propaganda during the UK-EU Referendum (1606.06356v1)

Published 20 Jun 2016 in cs.SI and physics.soc-ph

Abstract: Bots are social media accounts that automate interaction with other users, and they are active on the StrongerIn-Brexit conversation happening over Twitter. These automated scripts generate content through these platforms and then interact with people. Political bots are automated accounts that are particularly active on public policy issues, elections, and political crises. In this preliminary study on the use of political bots during the UK referendum on EU membership, we analyze the tweeting patterns for both human users and bots. We find that political bots have a small but strategic role in the referendum conversations: (1) the family of hashtags associated with the argument for leaving the EU dominates, (2) different perspectives on the issue utilize different levels of automation, and (3) less than 1 percent of sampled accounts generate almost a third of all the messages.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (2)
  1. Philip N. Howard (9 papers)
  2. Bence Kollanyi (6 papers)
Citations (353)

Summary

Analysis of "Bots, #StrongerIn, and #Brexit: Computational Propaganda during the UK-EU Referendum"

This paper offers an incisive exploration of the role of political bots in shaping online discourse during the UK-EU referendum, particularly focusing on Twitter. It presents a detailed account of how political actors utilize bots to disseminate content, amplify messages, and influence public opinion during crucial political events.

Key Findings

  1. Role of Political Bots: The paper establishes that political bots, while small in number, play a strategic role in the referendum conversations. Less than 1% of sampled accounts generated almost a third of all related messages, illustrating the outsized impact these automated accounts can have.
  2. Prevalence of Hashtags: The analysis of collected data, comprising over 1.5 million tweets, reveals that hashtags associated with the pro-leave argument were more prolific, accounting for 54% of occurrences versus 20% for pro-remain positions. This suggests a concerted effort from leave-supporting bots to flood the narrative with messages aligning with their ideological stance.
  3. Automation Levels: Different perspectives on the Brexit issue employed varying levels of automation. Notably, accounts related to Brexit arguments engaged more heavily in automated content production. Approximately 33% of tweets using mixed hashtags were generated by highly automated accounts, emphasizing the role automation plays in propagating certain viewpoints.
  4. Contribution of Top Users: The top 100 users, which include prominent bot accounts, contributed significantly to the volume of referendum-related Twitter traffic. This highlights the concentrated effort among a small subset of accounts to dominate the conversation.

Implications

The findings underscore the potential influence of political bots in steering public discourse by amplifying certain narratives at critical moments. This manipulative capability raises questions about the integrity of political communication and the need for mechanisms to identify and manage bot-driven content, thereby preserving the authenticity of online political discourse.

Future Research Directions

Further investigation could focus on the broader implications of bot involvement in different political settings and their impact on elections. Researchers may also delve into the detection methodologies for distinguishing bot activity from genuine human interaction, an area that remains crucial for safeguarding digital democracy.

The research presented in this paper provides a foundational understanding of the role automated accounts play in political arenas. As AI and automation technologies continue to evolve, it remains crucial for future research to explore their implications further, ensuring that the democratic process remains robust in the digital age.