Improving Social Bot Detection Through Aid and Training.

ABSTRACT:

Objective

We test the effects of three aids on individuals' ability to detect social bots among Twitter personas: a bot indicator score, a training video, and a warning.

Background

Detecting social bots can prevent online deception. We use a simulated social media task to evaluate three aids.

Method

Lay participants judged whether each of 60 Twitter personas was a human or social bot in a simulated online environment, using agreement between three machine learning algorithms to estimate the probability of each persona being a bot. Experiment 1 compared a control group and two intervention groups, one provided a bot indicator score for each tweet; the other provided a warning about social bots. Experiment 2 compared a control group and two intervention groups, one rece

SUBMITTER: Kenny R 

PROVIDER: S-EPMC11382440 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature