{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,26]],"date-time":"2025-11-26T12:59:21Z","timestamp":1764161961559,"version":"3.46.0"},"reference-count":53,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,11,26]],"date-time":"2025-11-26T00:00:00Z","timestamp":1764115200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Digit. Health"],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Human behavior is significantly influenced by emotions, with negative sentiments such as fear and anxiety driving various coping mechanisms, including cognitive behavioral therapy (CBT), dietary changes, and medication use. Social media platforms like X (formerly Twitter) offer valuable insights into these behaviors due to their real-time, user-generated content. While previous research has explored general sentiment on X (formerly Twitter), there has been limited focus on the reasons behind negative sentiments and the coping strategies employed, particularly in relation to brain health.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We analyzed 390,000 X-posts tagged with #brain and #health, categorizing them into positive, negative, and neutral sentiments. We then investigate the use of CBT techniques, dietary adjustments, and specific medications across these sentiments.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Our findings reveal distinct patterns in how negative and positive sentiments are expressed and managed on social media. Negative sentiments are often linked to serious health concerns, such as COVID-19 and brain inflammation, and exhibit various cognitive distortions. These X-posts also mention coping strategies like using medications such as lorazepam and simvastatin, or consuming comfort foods like pizza. In contrast, positive sentiments emphasize resilience and improvement, with mentions of mindfulness, supplements, and medications like doxycycline and pregabalin. The study also highlights the risk of disseminating information about dietary and drug supplements that may not be suitable for public use due to serious side effects, such as Chaga mushrooms, which, despite being associated with positive sentiment, are known to cause renal failure in certain cases.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Overall, the study profiles the use of positive and negative brain health sentiment of X, which underscores both the advantages and risks of using X (formerly Twitter) as a platform for sharing brain health-related information.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fdgth.2025.1648671","type":"journal-article","created":{"date-parts":[[2025,11,26]],"date-time":"2025-11-26T12:54:22Z","timestamp":1764161662000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Dissecting the difference between positive and negative brain health sentiment using X data"],"prefix":"10.3389","volume":"7","author":[{"given":"Piotr","family":"Religa","sequence":"first","affiliation":[]},{"given":"Michel-Edwar","family":"Mickael","sequence":"additional","affiliation":[]},{"given":"Marzena","family":"\u0141azarczyk","sequence":"additional","affiliation":[]},{"given":"Norwin","family":"Kubick","sequence":"additional","affiliation":[]},{"given":"Ibrahim F.","family":"Rehan","sequence":"additional","affiliation":[]},{"given":"Jaros\u0142aw Olav","family":"Horba\u0144czuk","sequence":"additional","affiliation":[]},{"given":"Asmaa","family":"Elnagar","sequence":"additional","affiliation":[]},{"given":"Mariusz","family":"Sacharczuk","sequence":"additional","affiliation":[]},{"given":"Atanas G.","family":"Atanasov","sequence":"additional","affiliation":[]}],"member":"1965","published-online":{"date-parts":[[2025,11,26]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"e4","DOI":"10.4108\/eai.6-10-2020.166547","article-title":"Application of sentiment analysis in understanding human emotions and behaviour","volume":"5","author":"Saraff","year":"2020","journal-title":"EAI Endorsed Trans. 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