ArticleScientific reports2024
Social bots spoil activist sentiment without eroding engagement.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Instagram fake profile detection using an ensemble learning method.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Social bots are highly active on social media platforms, significantly affecting online discourse. We analyzed the dynamic nature of bot engagement related to Extinction Rebellion climate change protests in 2019. We found bots to impact human behavior more than the other way around during active discussions. To assess the causal impact of bot encounters, we compared communication histories of those who interacted with bots with matched users who did not. There is a consistent negative impact of bot encounters on subsequent sentiment. The impact on sentiment is conditional on the user's original support level, with a more negative impact on those with a favourable or neutral stance towards climate activism. Political 'astroturfing' bots induce an increase in human communications, while encounters with other bots result in a decrease. Bot encounters do not change activists' engagement levels in climate activism. Despite the seemingly minor impact of individual bot encounters, the cumulative effect is profound due to the large volume of bot communication. Our findings underscore the importance of monitoring the influence of social bots, as with new technological advancements distinguishing between bots and humans becomes ever more challenging.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.