Drew University Library : University Archives : Theses and Dissertations
    
authorHeather L Bennett
titleHashtag History: Historical Thinking & Social Media in an Undergraduate Classroom in Singapore
abstract Sociocultural influences such as family, nation, and personal identity impact undergraduate students' approaches to history in the classroom. In the digital age, social media is an equally powerful force shaping students' perceptions and understandings of history. Social media frames students' reactions to historical content, guides what they pay attention to, and provides a vocabulary for expressing connections between past and present. The habits fostered online impact students' practice of historical thinking, but thus far historical thinking research has not fully addressed the role of social media in undergraduate students' articulations of history.

To fill this gap, I investigate a dataset of 11,454 tweets and 74 blog posts publicly produced by the 150 undergraduate students enrolled in my Spring 2017 World Civilizations course offered by the University at Buffalo, Singapore Institute of Management (UB-SIM) program. I use students' tweets and blog posts to explore the role of three social media trends on two historical thinking skills. Affective response, the attention economy, and visual media cultures common on the web conditioned students' practice of historical empathy and historical significance. I view these social media habits as both beneficial and detrimental to students' historical thinking. Like all technologies, social media offers affordances and constraints. When educators and historians focus on only one aspect of social media's influence, we fail to fully recognize the complex webs of understanding our students bring to their study of history.

In "Hashtag History," I employ digital methods and tools as well as traditional close-reading methods to make sense of students' approaches to history. I collected all data for the project using web scraping and then cleaned, compiled, and analyzed the data using R packages, mainly tidyverse and tidy text. Data analysis methods included sentiment analysis and word frequency studies as well as coding and close reading. The full version of this project is presented as a digital dissertation available at https://dissertation.heatherlbennett.com.

schoolThe Caspersen School of Graduate Studies, Drew University
degreePh.D. (2019)
advisor C. Wyatt Evans
committee Gamin Bartle
Richard M Mikulski
white paperHLBennett.pdf
defensevideo & transcript
supplementary files
  • CODEBOOK_downloads_datasets.txt
       Contains descriptions, filenames, and urls for all supplementary files
  • all_tweets_final.csv
       All tweets publicly produced by student participants and collected for Hashtag History
  • blog_post_master.csv
      Master list for all student blog posts plus original and Internet Archive URLs
  • blogging_project_rubrics.pdf
       Copy of rubrics used to evaluate blog posts created by student participants
  • end_of_semester_survey.pdf
       Survey distributed to students and answered anonymously at end of Spring 2017 semester
  • gif_embodiment_sentiment.csv
       Embodiment codes/categories, assigned by project author, for each tweet containing a GIF. Sentiment scores also provided for reference.
  • hashtag_history_r_script.html
       R Script containing analysis conducted using tidyverse, tidytext, and other R packages for "Hashtag History."
  • sentimentr_values.csv
       Sentiment values derived using sentimentr for each tweet in the All Tweets Dataset
  • syllabus_ugc111_spring_2017.pdf
       Syllabus used in Spring 2017 when I collected the data used for "Hashtag History." The syllabus includes learning outcomes, class expectations, and the assessments that formed the study activities.
  • hlbennett_hashtag_history_19Apr2019.warc
       Web archive (WARC) file of Hashtag History website on 19 April 2019. Users may download the file and view using Webrecorder.io