Identifying Diversity of Thought on Social Media

Identifying Diversity of Thought on Social Media

Bibliographic Details
Main Author: Bullemer, Beth
Language:English
Published: Wright State University / OhioLINK 2019
Subjects:
Cognitive Psychology
Psychology
cognitive diversity
wisdom of the crowd
social media
twitter
language use
observational research methods
level of abstraction
naturalistic decision making
reasoning
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=wright1558713165638632
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-wright15587131656386322021-08-03T07:11:12Z Identifying Diversity of Thought on Social Media Bullemer, Beth Cognitive Psychology Psychology cognitive diversity wisdom of the crowd social media twitter language use observational research methods level of abstraction naturalistic decision making reasoning This dissertation considers what it means to think differently, using naturalistic verbal evidence. This problem is inspired by a gap within the Wisdom of the Crowd (WoC) literature, but relevant to the study of language processes, mental models, and the vast emerging resource of social media data. I propose a methodological framework to characterize diversity of thought through the quantification of social media data. Four stages of research considered: a) the properties of a sample domain, b) how to identify and select diagnostic content using classification methods, c) how to quantify qualitative content in order to categorize and compare individuals, and d) how to assess the relative merits and challenges of content classification methods, including whether differences in thought actually affect outcomes. The emphasis is on pervasive issues pertinent the analysis of unstructured verbal data, rather than the specific, albeit largely successful solutions explored. Such issues were identified when defining and applying the methodological framework, and generally indicate the influence of sample domain on process measures, success at higher levels of abstraction, and a lack of continuity between all levels of analysis. 2019-05-31 English text Wright State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=wright1558713165638632 http://rave.ohiolink.edu/etdc/view?acc_num=wright1558713165638632 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Cognitive Psychology
Psychology
cognitive diversity
wisdom of the crowd
social media
twitter
language use
observational research methods
level of abstraction
naturalistic decision making
reasoning
spellingShingle Cognitive Psychology
Psychology
cognitive diversity
wisdom of the crowd
social media
twitter
language use
observational research methods
level of abstraction
naturalistic decision making
reasoning
Bullemer, Beth
Identifying Diversity of Thought on Social Media
author Bullemer, Beth
author_facet Bullemer, Beth
author_sort Bullemer, Beth
title Identifying Diversity of Thought on Social Media
title_short Identifying Diversity of Thought on Social Media
title_full Identifying Diversity of Thought on Social Media
title_fullStr Identifying Diversity of Thought on Social Media
title_full_unstemmed Identifying Diversity of Thought on Social Media
title_sort identifying diversity of thought on social media
publisher Wright State University / OhioLINK
publishDate 2019
url http://rave.ohiolink.edu/etdc/view?acc_num=wright1558713165638632
work_keys_str_mv AT bullemerbeth identifyingdiversityofthoughtonsocialmedia
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