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The complete bibliographic information, a link to the original publication on http: Thus, there is a need to find innovative and cost-effective strategies to help identify students experiencing high levels of stress to receive appropriate treatment. Consequently, this may help individuals cope with their emotions and provide an immediate relief [ 16 ]. McCullough M, Larson D. Excess stress can also negatively affect physical health, such as increased sleep disturbances, decreased immune function, and loss of appetite [ 9 – 11 ]. An interesting finding in this study, contrary to our hypothesis, was that when individuals experienced a higher level of stress, they were more likely to post tweets related to both fear and love or hope. Baseline participant characteristics are presented in Table 1.

Dalgleish T, Power M. This is an open-access article distributed under the terms of the Creative Commons Attribution License http: Recruitment and Study Protocol Participants were informed about the study through flyers on social media websites and on UCLA campus between September 14 and October 12, Participants were informed about the study through flyers on social media websites and on UCLA campus between September 14 and October 12, Descriptive statistics were used to summarize baseline demographic characteristics, levels of stress, emotional well-being, and the number of positive, neutral, negative, anger, fear, love, and happiness tweets. Participants who provided consent were asked to complete a Web-based questionnaire that assessed their levels of stress and emotional state for the last 7 days.

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Sentiment and Emotional Analysis of the Tweets A total of tweets were included in our analysis. Am J Mens Health. Participants were informed about the study through flyers on social media homewlrk and on UCLA campus between September 14 and October 12, However, there is a lack of studies that have examined whether the content of social media data can be used to monitor psychological health at an individual level. Finally, levels of stress and emotional state were measured at only one time point in this study.

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We plan to pursue this in future studies by collecting Twitter data and psychological measures of college students in a longitudinal study. Sentiment Analysis in Twitter. Smaller values of the —2 log likelihood measure indicated better model fit [ 29 ]. Retweets were excluded from the analysis, as it was a challenge to interpret the sentiment and emotions.

Stress twktter the higher education student: Second, our results suggest that it may be possible to create a new public health surveillance tool to monitor and predict stress level and emotional state among college students.

Meanwhile, emotions of love and happiness homfwork negatively associated with the percentage of negative sentiments and percentage of tweets related to the emotion of fear. Andrews B, Wilding JM.

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Participants were informed about the study through flyers on social media websites and on UCLA campus between September 14 and October 12, People often have the need to share their emotions and experiences [ 16 ]. However, there is a lack of studies that have examined whether the content of social media data can be used to monitor psychological health at an individual level. Stress influences appetite and comfort food preferences in college women.

Overall, these findings provide evidence that real-time social media data may be used to monitor smeley psychological health of college students. Descriptive statistics were used to summarize baseline demographic characteristics, levels of stress, emotional well-being, and the number of positive, neutral, negative, anger, fear, love, and happiness tweets. J Am Coll Health. You are what you tweet: Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomes.

Excess stress can also negatively affect physical health, such as increased sleep disturbances, decreased hpmework function, and loss of appetite [ 9 – 11 ].

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Data collected between November 2 and November 8,were extracted for analysis. Making the grade but feeling distressed: A total of tweets were analyzed. Sony has been keeping gamers up to date on the Playstation blog. For example, it was unclear whether the participants were retweeting because they shared the sentiment of the person who originally tweeted it or they were retweeting for support toward that person.

In order to account for the differences in the number of tweets people posted, we calculated the percentage of tweets expressing positive, negative, and neutral sentiments, and emotions of anger, fear, love, and happiness to be included in the regression analyses.

Based on previous research, all models were adjusted for covariates including age, ethnicity, and gender [ 25 – 28 ]. Abstract Background College can be stressful for many freshmen as they cope with a variety of stressors.

Specifically, higher levels of stress and emotion of fear were associated with a greater percentage of negative sentiments and percentage of tweets related to fear. Because of the high level of stress among incoming freshman students, we homewor to study this population in their first quarter of school.

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Social media use has been rapidly growing, and recent studies have reported that data from these technologies can be used for public health surveillance. Table 1 Baseline characteristics. Users often share their thoughts, feelings, and opinions on these social media platforms, and as a result, social media data may be used gomework provide real-time monitoring of stress and emotional state among college students [ 17 ].

Sentiment and Emotional Analysis of the Tweets A homewotk of tweets were included in our analysis.

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