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Situations in 140 Characters: Assessing Real-World Situations on Twitter.

Serfass DG, Sherman RA - PLoS ONE (2015)

Bottom Line: Females share both more emotionally charged (pOsitive and Negative) situations, while no differences were found in the amount of Duty experienced by males and females.Differences in the situations shared from Rural and Urban areas were not found.Future applications of assessing situations using social media are discussed.

View Article: PubMed Central - PubMed

Affiliation: Florida Atlantic University, Boca Raton, Florida, United States of America.

ABSTRACT
Over 20 million Tweets were used to study the psychological characteristics of real-world situations over the course of two weeks. Models for automatically and accurately scoring individual Tweets on the DIAMONDS dimensions of situations were developed. Stable daily and weekly fluctuations in the situations that people experience were identified. Predicted temporal trends were found, providing validation for this new method of situation assessment. On weekdays, Duty peaks in the midmorning and declines steadily thereafter while Sociality peeks in the evening. Negativity is highest during the workweek and lowest on the weekends. pOsitivity shows the opposite pattern. Additionally, gender and locational differences in the situations shared on Twitter are explored. Females share both more emotionally charged (pOsitive and Negative) situations, while no differences were found in the amount of Duty experienced by males and females. Differences in the situations shared from Rural and Urban areas were not found. Future applications of assessing situations using social media are discussed.

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Related in: MedlinePlus

Top: Mean Duty scores for males and females on Tweets for each minute over the course of a week (averaged across two weeks).Middle: Mean Mating and Sociality scores for males and females on Tweets for each minute over the course of a week (averaged across two weeks). Bottom: Mean Positivity and Negativity scores for males and females on Tweets for each minute over the course of a week (averaged across two weeks).
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pone.0143051.g003: Top: Mean Duty scores for males and females on Tweets for each minute over the course of a week (averaged across two weeks).Middle: Mean Mating and Sociality scores for males and females on Tweets for each minute over the course of a week (averaged across two weeks). Bottom: Mean Positivity and Negativity scores for males and females on Tweets for each minute over the course of a week (averaged across two weeks).

Mentions: The results thus far are consistent with both common experience and our predictions. Taking these as evidence for the validity of our scoring algorithm, we sought to explore potential gender and geographic differences in situation experience, as posted on Twitter. Fig 3 shows weekly Duty, Sociality, Mating, pOsitivity and Negativity trends for both males and females. As can be seen, both genders experienced similar patterns of Sociality, Mating, pOsitivity and Negativity; however, some mean-level gender differences were also present. Gender differnces were substantial for Sociality (r = .45), Mating (r = -.38), pOsitivity (r = -.21), and Negativity (r = -.46), but quite negligible for Duty (r = -.08). The rs shown are the correlations between each gender (0 = female, 1 = male) and the average DIAMONDS dimension at each minute, as shown in Fig 3 and should not be confused as indicative of the association between gender and the characteristics of a single situation. Tweets from females were more emotionally charged (pOsitivity and Negativity) situations and were more likely to mention romantic situations (Mating). Tweets from males, on the other hand, were more characterized by Sociality on average.


Situations in 140 Characters: Assessing Real-World Situations on Twitter.

Serfass DG, Sherman RA - PLoS ONE (2015)

Top: Mean Duty scores for males and females on Tweets for each minute over the course of a week (averaged across two weeks).Middle: Mean Mating and Sociality scores for males and females on Tweets for each minute over the course of a week (averaged across two weeks). Bottom: Mean Positivity and Negativity scores for males and females on Tweets for each minute over the course of a week (averaged across two weeks).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4643936&req=5

pone.0143051.g003: Top: Mean Duty scores for males and females on Tweets for each minute over the course of a week (averaged across two weeks).Middle: Mean Mating and Sociality scores for males and females on Tweets for each minute over the course of a week (averaged across two weeks). Bottom: Mean Positivity and Negativity scores for males and females on Tweets for each minute over the course of a week (averaged across two weeks).
Mentions: The results thus far are consistent with both common experience and our predictions. Taking these as evidence for the validity of our scoring algorithm, we sought to explore potential gender and geographic differences in situation experience, as posted on Twitter. Fig 3 shows weekly Duty, Sociality, Mating, pOsitivity and Negativity trends for both males and females. As can be seen, both genders experienced similar patterns of Sociality, Mating, pOsitivity and Negativity; however, some mean-level gender differences were also present. Gender differnces were substantial for Sociality (r = .45), Mating (r = -.38), pOsitivity (r = -.21), and Negativity (r = -.46), but quite negligible for Duty (r = -.08). The rs shown are the correlations between each gender (0 = female, 1 = male) and the average DIAMONDS dimension at each minute, as shown in Fig 3 and should not be confused as indicative of the association between gender and the characteristics of a single situation. Tweets from females were more emotionally charged (pOsitivity and Negativity) situations and were more likely to mention romantic situations (Mating). Tweets from males, on the other hand, were more characterized by Sociality on average.

Bottom Line: Females share both more emotionally charged (pOsitive and Negative) situations, while no differences were found in the amount of Duty experienced by males and females.Differences in the situations shared from Rural and Urban areas were not found.Future applications of assessing situations using social media are discussed.

View Article: PubMed Central - PubMed

Affiliation: Florida Atlantic University, Boca Raton, Florida, United States of America.

ABSTRACT
Over 20 million Tweets were used to study the psychological characteristics of real-world situations over the course of two weeks. Models for automatically and accurately scoring individual Tweets on the DIAMONDS dimensions of situations were developed. Stable daily and weekly fluctuations in the situations that people experience were identified. Predicted temporal trends were found, providing validation for this new method of situation assessment. On weekdays, Duty peaks in the midmorning and declines steadily thereafter while Sociality peeks in the evening. Negativity is highest during the workweek and lowest on the weekends. pOsitivity shows the opposite pattern. Additionally, gender and locational differences in the situations shared on Twitter are explored. Females share both more emotionally charged (pOsitive and Negative) situations, while no differences were found in the amount of Duty experienced by males and females. Differences in the situations shared from Rural and Urban areas were not found. Future applications of assessing situations using social media are discussed.

Show MeSH
Related in: MedlinePlus