Summary of Mapping the Technological Future: a Topic, Sentiment, and Emotion Analysis in Social Media Discourse, by Alina Landowska et al.
Mapping the Technological Future: A Topic, Sentiment, and Emotion Analysis in Social Media Discourse
by Alina Landowska, Maciej Skorski, Krzysztof Rajda
First submitted to arxiv on: 20 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Social and Information Networks (cs.SI); Applications (stat.AP)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this paper, researchers leverage BERTopic modeling and sentiment/emotion analysis on 1.5 million tweets to explore how key opinion leaders (KOLs) shape our understanding of technology-driven futures. The study finds that positive sentiment dominates, with a strong emphasis on optimism and benefits over pessimism and challenges. Specifically, the ‘Hope’ score is significantly higher than the median ‘Anxiety’ score, indicating a prevailing sense of anticipation and excitement. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper studies how people think about technology, like AI, in social media posts. The researchers looked at 1.5 million tweets from 2021 to 2023 and found that most people are positive and excited about the future. They also talked to important influencers who emphasized good things will happen rather than bad things. This study shows how these influencers shape our ideas about what’s coming next. |
