Date of Award
2016
Document Type
Dissertation
Publication Status
Version of Record
Submission Date
October 2026
Thesis/Dissertation Advisor [Chair]
Sherman, Ryne A.
Thesis/Dissertation Co-Chair
Nowak, Andrzej
Abstract
Social media posts are used to examine what people experience in their everyday lives. A new method is developed for assessing the situational characteristics of social media posts based on the words used in these posts. To accomplish this, machine learning models are built that accurately approximate the judgments of human raters. This new method of situational assessment is applied on two of the most popular social media sites: Twitter and Facebook. Millions of Tweets and Facebook statuses are analyzed. Temporal patterns of situational experiences are found. Geographic and gender differences in experience are examined. Relationships between personality and situation experience were also assessed. Implications of these finding and future applications of this new method of situational assessment are discussed.
Extent
113 p.
Recommended Citation
Serfass, David G., "Assessing Situations On Social Media: Temporal, Demographic, And Personality Influences On Situation Experience" (2016). Electronic Theses and Dissertations 2010 - 2019. 1400.
https://digitalcommons.fau.edu/etd_general_6/1400
Identifier
FA00004632
Comments
Includes bibliography.|Dissertation (Ph.D.)--Florida Atlantic University, 2016.|FAU Electronic Theses and Dissertations Collection|Includes bibliography.