Note
Includes bibliography.
Member of
Contributors
Publisher
Florida Atlantic University
Date Issued
2016
EDTF Date Created
2016
Description
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.
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.
Language
Type
Form
Extent
113 p.
Subject (Topical)
Identifier
FA00004632
Additional Information
Includes bibliography.
Dissertation (Ph.D.)--Florida Atlantic University, 2016.
FAU Electronic Theses and Dissertations Collection
Date Backup
2016
Date Created Backup
2016
Date Text
2016
Date Created (EDTF)
2016
Date Issued (EDTF)
2016
Extension
FAU
IID
FA00004632
Organizations
Attributed name: Florida Atlantic University
Attributed name: Charles E. Schmidt College of Science
Attributed name: Department of Psychology
Person Preferred Name
Serfass, David G.
author
Graduate College
Physical Description
application/pdf
113 p.
Title Plain
Assessing Situations On Social Media: Temporal, Demographic, And Personality Influences On Situation Experience
Use and Reproduction
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http://rightsstatements.org/vocab/InC/1.0/
Origin Information
2016
2016
Florida Atlantic University
Boca Raton, Fla.
Physical Location
Florida Atlantic University Libraries
Place
Boca Raton, Fla.
Sub Location
Digital Library
Title
Assessing Situations On Social Media: Temporal, Demographic, And Personality Influences On Situation Experience
Other Title Info
Assessing Situations On Social Media: Temporal, Demographic, And Personality Influences On Situation Experience