Social Bot Field Experiments in Computational Communi-cation:Concept,Method,and Application
With advances in artificial intelligence technologies,social bots are increasingly being applied in social science research.From the perspective of computational communication,we discuss the conception,methodology,experimental design,and practical applications of social bot field experiments.Leveraging the advantages of big data analytics and simulation techniques,social bot field experiments have now evolved into a highly controllable research method.We highlighted how this method provides new approaches for observing,analyzing,and understanding communication phenomena in digital media environments,contributing to the verification,exploration,and expansion of communication theories.In the empirical research section,we conducted a preliminary investigation into the causes of filter bubbles through field experiments with social robots.The study finds that despite controlling for reading behavior preferences,social robot accounts may still fall into filter bubbles after random reading experiments.
social botfield experimentdigital tracealgorithm auditfilter bubble
万方数据
维普
