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Group polarization is the strengthening of an original group attitude following the discussion of views within a group (Teger & Pruitt, 1967). That is, if a group initially favors a viewpoint, after discussion the group consensus is likely a stronger endorsement of the viewpoint. Conversely, if the group was initially opposed to a viewpoint, group discussion would likely lead to stronger opposition.
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Social bots spoil activist sentiment without eroding engagement.

Linda Li1,2, Orsolya Vásárhelyi3,4,5, Balázs Vedres5,6

  • 1Department of Methodology, London School of Economics and Political Science, Columbia House, Aldwych, London, UK. l.li88@lse.ac.uk.

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Summary
This summary is machine-generated.

Social bots significantly influence online discussions, particularly during climate protests. Encounters with these bots negatively impact human sentiment, especially among those supportive of climate activism.

Keywords:
Human–bot interactionInformation cascadesPolitical communicationProtestsSocial bots

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Area of Science:

  • Social media analysis
  • Computational social science
  • Climate change communication

Background:

  • Social bots are prevalent on social media, influencing public discourse.
  • Understanding bot-human interaction dynamics is crucial for online communication integrity.
  • The 2019 Extinction Rebellion protests provide a relevant case study for bot activity.

Purpose of the Study:

  • To analyze the impact of social bot engagement on human behavior during climate change protests.
  • To assess the causal effect of bot encounters on user sentiment and communication patterns.
  • To differentiate the effects of various bot types, including political astroturfing bots.

Main Methods:

  • Comparative analysis of communication histories between users who interacted with bots and matched control users.
  • Sentiment analysis of user posts following bot encounters.
  • Examination of user engagement levels in climate activism.

Main Results:

  • Bot encounters have a greater impact on human behavior than vice versa during active discussions.
  • A consistent negative impact of bot encounters on subsequent user sentiment was observed.
  • The negative sentiment impact was more pronounced for users with favorable or neutral stances toward climate activism.
  • Political astroturfing bots increased human communication, while other bots decreased it.
  • Bot encounters did not alter activists' engagement levels in climate activism.

Conclusions:

  • The cumulative effect of social bots on online discourse is profound, despite minor individual impacts.
  • Monitoring social bot influence is essential due to increasing technological sophistication in distinguishing bots from humans.
  • Bot activity can significantly shape public opinion and discourse, particularly on sensitive topics like climate change.