Suicide Risk Factors: A Language Analysis Approach in Social Media

2021 ◽  
pp. 0261927X2110361
Author(s):  
Gerardo Sierra ◽  
Patricia Andrade-Palos ◽  
Gemma Bel-Enguix ◽  
Alejandro Osornio-Arteaga ◽  
Adriana Cabrera-Mora ◽  
...  
Keyword(s):  
Risk Factors ◽  
Social Media ◽  
Suicide Risk ◽  
Language Use ◽  
Public Health Issue ◽  
Mexican Culture ◽  
Language Analysis ◽  
Social Media Platforms ◽  
Suicide Risk Factors ◽  
The Difference

Suicide represents a public health issue that requires new preventive strategies. Therefore, this study analyzes differences in language use between a themed posts group (suicide and depression) and a random posts group (non-specific topics) from different social media platforms. In addition, the similarity of the texts of themed posts group with the set of phrases linked to suicide risk factors is analyzed. Texts were processed using the Linguistic Inquiry and Word Count (LIWC) software. A 95% bootstrap confidence interval (CI) was built for the difference in means for the resulting values per word category across groups. Significant differences in the use of language were observed between the themed post group and the random post group, whereas no differences were found between the themed post group and the set of phrases linked to suicide risk factors. These results can contribute to the development of risk-detection tools, which identify users at risk based on the analysis of language use embedded in social media. Such opportune detection would significantly increase the suicide prevention work. However, there is still a latent need for doing more research in this field, especially for the Mexican culture.

Suicide Risk on Twitter

2018 ◽  
Vol 8 (2) ◽  
pp. 1-17 ◽  
Author(s):  
Samah Jamal Fodeh ◽  
Edwin D. Boudreaux ◽  
Rixin Wang ◽  
Dennis Silva ◽  
Robert Bossarte ◽  
...  
Keyword(s):  
Risk Factors ◽  
Social Media ◽  
High Risk ◽  
Suicide Risk ◽  
Suicide Attempts ◽  
Language Patterns ◽  
Self Harm ◽  
Suicide Risk Factors ◽  
Twitter Users ◽  
Use Of Social Media

While many studies have explored the use of social media and behavioral changes of individuals, few examined the utility of using social media for suicide detection and prevention. The study by Jashinsky et al. identified specific language patterns associated with a set of twelve suicide risk factors. The authors extended these methods to assess the significance of the language used on Twitter for suicide detection. This article quantifies the use of Twitter to express suicide related language, and its potential to detect users at high risk of suicide. The authors searched Twitter for tweets indicative of 12 suicide risk factors. This paper divided Twitter users into two groups: “high risk” and “at risk” based on two of the risk factors (“self-harm” and “prior suicide attempts”) and examined language patterns by computing co-occurrences of terms in tweets which helped identify relationships between suicide risk factors in both groups.

Tracking Suicide Risk Factors Through Twitter in the US

Crisis ◽  
2014 ◽  
Vol 35 (1) ◽  
pp. 51-59 ◽  
Author(s):  
Jared Jashinsky ◽  
Scott H. Burton ◽  
Carl L. Hanson ◽  
Josh West ◽  
Christophe Giraud-Carrier ◽  
...  
Keyword(s):  
Risk Factors ◽  
At Risk ◽  
Social Media ◽  
Real Time ◽  
Suicide Risk ◽  
The United States ◽  
Actual State ◽  
Suicide Rates ◽  
Keywords And Phrases ◽  
Suicide Risk Factors

Background: Suicide is a leading cause of death in the United States. Social media such as Twitter is an emerging surveillance tool that may assist researchers in tracking suicide risk factors in real time. Aims: To identify suicide-related risk factors through Twitter conversations by matching on geographic suicide rates from vital statistics data. Method: At-risk tweets were filtered from the Twitter stream using keywords and phrases created from suicide risk factors. Tweets were grouped by state and departures from expectation were calculated. The values for suicide tweeters were compared against national data of actual suicide rates from the Centers for Disease Control and Prevention. Results: A total of 1,659,274 tweets were analyzed over a 3-month period with 37,717 identified as at-risk for suicide. Midwestern and western states had a higher proportion of suicide-related tweeters than expected, while the reverse was true for southern and eastern states. A strong correlation was observed between state Twitter-derived data and actual state age-adjusted suicide data. Conclusion: Twitter may be a viable tool for real-time monitoring of suicide risk factors on a large scale. This study demonstrates that individuals who are at risk for suicide may be detected through social media.

scholarly journals Instagram Influencer Analysis for Top 5 Categories in Turkey

2021 ◽  
Vol 12 (44) ◽  
pp. 22-36
Author(s):  
Busra ERTOGRUL ◽  
Gizem KILICSIZ ◽  
Aysun BOZANTA
Keyword(s):  
Social Media ◽  
Digital Identity ◽  
Ordinary People ◽  
Daily Lives ◽  
Social Media Platforms ◽  
The Difference ◽  
Marketing Tool ◽  
Use Of Social Media ◽  
The Relationship ◽  
New Jobs

Social media platforms have become an inevitable part of our daily lives. Companies that noticed the intense use of social media platforms started to use them as a marketing tool. Even ordinary people have become famous by social media and companies have been sending their products to them to try and advertise. Many people have gained a considerable amount of money in this way and today new jobs are emerged like "Youtuber" and "Instagram Influencer". Therefore, ordinary people realized the power of social media and many people started to strength their digital identity over social media. The question raising in people’s mind is that “What is the difference between the influencers and the ordinary people who have also digital identity over social media?”. This study examined Instagram influencers for five categories namely fashion, makeup, photography, travel, and fitness in Turkey. As an exploratory study, the relationship between the influencers’ average number of posts, the number of likes, the number of views, the number of comments, number of followers, and the number of following were examined. As well as the engagement rates of the followers to the influencers were calculated. In addition, the words they mostly used in the captions of the posts were examined.

Youth Suicide Risk Factors and Attitudes in New York and Vienna: A Cross-Cultural Comparison

2006 ◽  
Vol 36 (5) ◽  
pp. 539-552 ◽  
Author(s):  
Kanita Dervic ◽  
Madelyn S. Gould ◽  
Gerhard Lenz ◽  
Marjorie Kleinman ◽  
Tuerkan Akkaya-Kalayci ◽  
...  
Keyword(s):  
Risk Factors ◽  
New York ◽  
Suicide Risk ◽  
Cross Cultural ◽  
Cultural Comparison ◽  
Youth Suicide ◽  
Cross Cultural Comparison ◽  
Suicide Risk Factors
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