Authors: Lowri Williams, Eirini Anthi, Pete Burnap

Published on: January 16, 2024

Impact Score: 8.22

Arxiv code: Arxiv:2402.0167

Summary

• What is new: Presents a scalable and automated framework to track likely adoption/rejection of new technologies using social media texts.
• Why this is important: The challenge in understanding the barriers and opportunities for adopting new technologies due to limited qualitative data analysis.
• What the research proposes: A text mining approach that analyzes sentiments expressed towards emerging technologies in social media, to predict adoption likelihood.
• Results: Validated that sentiment analysis from social media can reliably indicate positive or negative outlooks towards adopting new technologies, matching human annotator outcomes.

Technical Details

Technological frameworks used: Text mining for sentiment analysis

Models used: Not specified

Data used: Large corpus of social media texts regarding emerging technologies

Potential Impact

Companies and markets involved in emerging technologies, market research, and social media analytics could be disrupted or benefit.

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