{"id":32120,"date":"2021-02-16T09:15:04","date_gmt":"2021-02-16T09:15:04","guid":{"rendered":"https:\/\/www.xatakaciencia.com\/psicologia\/se-estudian-cambios-a-nivel-conductual-linguistico-tuits-usuarios-depresion-que-toman-antidepresivos"},"modified":"2021-02-16T09:15:04","modified_gmt":"2021-02-16T09:15:04","slug":"se-estudian-los-cambios-a-nivel-conductual-y-linguistico-en-los-tuits-de-usuarios-con-depresion-y-que-toman-antidepresivos","status":"publish","type":"post","link":"https:\/\/forocilac.org\/en\/se-estudian-los-cambios-a-nivel-conductual-y-linguistico-en-los-tuits-de-usuarios-con-depresion-y-que-toman-antidepresivos\/","title":{"rendered":"Behavioral and linguistic changes are studied in the tweets of users with depression and taking antidepressants."},"content":{"rendered":"

\n \"Se\n <\/p>\n

Behavioral and linguistic changes in tweets in Spanish<\/strong> published by users who suffer from depression and who are taking antidepressant medication have been identified by Researchers from the Biomedical Informatics Research Program (GRIB) of the UPF and the Medical Research Institute of the Hospital del Mar (IMIM) of Barcelona.<\/p>\n

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The main objective was to detect the effects of antidepressants through changes in the language used in their tweets or in the way these people used Twitter<\/strong>.<\/p>\n

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668,842 tweets<\/h2>\n

He study<\/a> included 186 users and their timelines with a total of 668,842 tweets<\/strong>.<\/p>\n

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\n \"Dejar de ver tanto la televisión sería una forma eficaz de combatir la depresión, según este estudio\"
\n <\/a>\n <\/div>\n
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\n In Xataka Science<\/a>\n <\/div>\n

Stopping watching TV so much would be an effective way to combat depression, according to this study<\/a>\n <\/div><\/div><\/div>\n<\/div>\n

During periods in which users reported that they were receiving treatment with antidepressant medications, their Twitter activity increased with longer messages but posting fewer messages at night<\/strong>. <\/p>\n

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They also interacted more with other users and there was also an increase in positive emotions related to happiness and surprise.<\/p>\n

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\n \"Las personas que tienen depresión son más propensas a decir determinadas palabras\"
\n <\/a>\n <\/div>\n
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\n In Xataka Science<\/a>\n <\/div>\n

People who have depression are more likely to say certain words<\/a>\n <\/div><\/div><\/div>\n<\/div>\n

As explained Ferran Sanz<\/strong>, professor at the Department of Experimental and Health Sciences at UPF (DCEXS) and director of the Research Program in Biomedical Informatics (GRIB) at IMIM and UPF:<\/p>\n

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The use of techniques based on big data and text mining, which allow us to detect changes in the way in which users interact on social networks such as Twitter, can provide us with new opportunities for tracking and monitoring patients who suffer from one of the most widespread problems. disabling health conditions.<\/p>\n<\/blockquote>\n