How Social Status Influences “Affect Language” in Tweets
Journal Title: Psychology and Cognitive Sciences - Open Journal - Year 2017, Vol 3, Issue 4
Abstract
Background: We studied the “affect language” (emotional content) in over 2000 Tweets of 50 famous celebrities across a one-month period. Method: The 140-character language bursts were analyzed with the Linguistic Inquiry and Word Count (LIWC), which provided percentage of language used to represent various emotional states. Results: Lower-status celebrities (i.e., those with fewer followers) used more positive emotion in their Tweets compared to higher-status celebrities, although negative emotional content did not vary by celebrity status. There was no statistically significant difference between sexes on emotional content. Conclusion: Our results suggest that social status may be more important to public use of affect language than sex of the celebrity.
Authors and Affiliations
Sheila Brownlow
Development and Testing a Volunteer Screening Tool for Assessing Community Health Volunteersʼ Motives at Recruitment and Placement in Western Kenya
Introduction: In times of inadequate resources and rising public demand, social service organizations rely on volunteers to meet needs. In the current human resource for health crisis in Africa there is urgent need for c...
Psychological Pleasure in Reading and Visual Cognition Under Colour Luminance: A Psycholinguistic Approach
Purpose: To investigate the psychological pleasure of reading and visual cognition under two colour luminance. Methods: A comparative study of sixty participants with emmetropia and no history of ocular pathology was con...
Technology and the Brain: Lessons from Patient Care, Social Media and the Internet
Technology is sweeping through our society in unparalleled fashion, affecting our day-to-day life, education, social relationships, healthcare and business. Our human experience and neuroscience both determine how we int...
How Social Status Influences “Affect Language” in Tweets
Background: We studied the “affect language” (emotional content) in over 2000 Tweets of 50 famous celebrities across a one-month period. Method: The 140-character language bursts were analyzed with the Linguistic Inquiry...
Evidence-Based Social Work Interventions to Improve Client Attendance in Rural Mental Health: An Overview of Literature
A patient’s unwillingness to adhere to scheduled appointment affects the patient, the clinic, and the community. Several barriers have been identified that increases the no-show rates among patients. While the rates of n...