Dataset for: "The builder-worker paradox: A mixed-methods analysis of affective dissonance in agentic AI discourse"
Hasan, Umar; Shahriar, Hossain Md.; Hossain, S.M. Shah Nawaz; Arnob, Snahashis Sarker; Momen, Sifat;
Dataset for: "The builder-worker paradox: A mixed-methods analysis of affective dissonance in agentic AI discourse"
This dataset contains 19,250 anonymized Reddit posts collected in late 2025, focusing on public discourse surrounding Artificial Intelligence. The data was collected using the Reddit API (PRAW) from 28 distinct subreddits (e.g., r/MachineLearning, r/singularity, r/DeepSeek). This dataset supports the findings in the manuscript "The builder-worker paradox: A mixed-methods analysis of affective dissonance in agentic AI discourse on social media."
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average