Social Media Data Mining With Natural Language Processing on Public Dream Contents
arXiv.org December 2, 2024 DOI: 10.48550/arxiv.2501.07839 (opens in new tab) via Semantic Scholar
Summary
AI-generated from the abstractDream content shared on the Reddit r/Dreams community shifted in positivity, negativity, and neutrality from before to after the COVID-19 pandemic began. The authors fine-tuned the LLaMA 3.1-8B model to classify sentiment in dream reports. The analysis suggests that the pandemic influenced subconscious processes, with dreams serving as potential indicators of public well-being during the crisis.
Study at a glance
| Characteristics | Observational study Peer reviewed |
|---|---|
| Population | Users of the Reddit r/Dreams community (over 374,000 subscribers) |
| Keywords | Computer science Psychology |
| Key finding | The pandemic was associated with changes in the positivity, negativity, and neutrality of dream content shared on Reddit. |
Abstract
The COVID-19 pandemic has significantly transformed global lifestyles, enforcing physical isolation and accelerating digital adoption for work, education, and social interaction. This study examines the pandemic's impact on mental health by analyzing dream content shared on the Reddit r/Dreams community. With over 374,000 subscribers, this platform offers a rich dataset for exploring subconscious responses to the pandemic. Using statistical methods, we assess shifts in dream positivity, negativity, and neutrality from the pre-pandemic to post-pandemic era. To enhance our analysis, we fine-tuned the LLaMA 3.1-8B model with labeled data, enabling precise sentiment classification of dream content. Our findings aim to uncover patterns in dream content, providing insights into the psychological effects of the pandemic and its influence on subconscious processes. This research highlights the profound changes in mental landscapes and the role of dreams as indicators of public well-being during unprecedented times.