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- All Subjects: Twitter
- Creators: Adams, Karen
Description
The goal of this thesis research was to figure out if there were tangible differences between the way men and women speak on Twitter, a micro blogging social media site, and to see if there ways to apply it to strategizing marketing campaigns. AntConc, a free concordance software by Lawrence Anthony, was used to help organize and analyze a corpus created from the Tweets that were collected form the public accounts of twelve different popular public figures. These individuals were chosen based on their profession or the industry that they are associated with, as well as their general popularity. The research focused on three main industries or professions that can be viewed as ‘gendered;’ which were ‘Modeling,’ ‘Fashion Publications,’ and ‘Sports.’ The data was then analyzed across five different main categories which included, ‘Additional Media,’ ‘Adjective Usage,’ ‘How are they talking?,’ ‘Who are they talking about?, and ‘What are they talking about?’ The primary data, along with secondary research was used to see if they words and language use of men and women aligned with stereotypical patterns or if there were patterns that were unique and overlooked.
What was found was that although gender did play a large part in the way men and women spoke, there were more similarities when comparing individuals of the same industry or profession, than there were if they were simply analyzed just based on gender. Additionally, there were many factors that made it difficult to say whether these were qualified patterns or simply tendencies. More research into this would be able to help marketing companies and individuals, better target the audience they want for social media campaigns, by taking into account the importance in contemporary differences in language use by men and women. However, this research would have to be done on data from sites like Twitter to provide an accurate depiction of the way men and women, on these very unique mediums, speak.
What was found was that although gender did play a large part in the way men and women spoke, there were more similarities when comparing individuals of the same industry or profession, than there were if they were simply analyzed just based on gender. Additionally, there were many factors that made it difficult to say whether these were qualified patterns or simply tendencies. More research into this would be able to help marketing companies and individuals, better target the audience they want for social media campaigns, by taking into account the importance in contemporary differences in language use by men and women. However, this research would have to be done on data from sites like Twitter to provide an accurate depiction of the way men and women, on these very unique mediums, speak.
ContributorsChan, Kayla Rose (Author) / Adams, Karen (Thesis director) / Shinabarger, Amy D. (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor) / Department of English (Contributor)
Created2015-05
Description
Social media has become a direct and effective means of transmitting personal opinions into the cyberspace. The use of certain key-words and their connotations in tweets portray a meaning that goes beyond the screen and affects behavior. During terror attacks or worldwide crises, people turn to social media as a means of managing their anxiety, a mechanism of Terror Management Theory (TMT). These opinions have distinct impacts on the emotions that people express both online and offline through both positive and negative sentiments. This paper focuses on using sentiment analysis on twitter hash-tags during five major terrorist attacks that created a significant response on social media, which collectively show the effects that 140-character tweets have on perceptions in social media. The purpose of analyzing the sentiments of tweets after terror attacks allows for the visualization of the effect of key-words and the possibility of manipulation by the use of emotional contagion. Through sentiment analysis, positive, negative and neutral emotions were portrayed in the tweets. The keywords detected also portray characteristics about terror attacks which would allow for future analysis and predictions in regards to propagating a specific emotion on social media during future crisis.
ContributorsHarikumar, Swathikrishna (Author) / Davulcu, Hasan (Thesis director) / Bodford, Jessica (Committee member) / Computer Science and Engineering Program (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
The issue of women driving remains to be highly debated in Saudi Arabia. Recent developments on its legalization have sparked conversation and discourse, particularly in social media sites like Twitter. Several hashtags have been used to indicate either support or criticism towards the movement.
Examining Twitter tweets and hashtags, the study explored how the discourse on women driving had been executed, particularly in between genders. The study analyzed a sizeable number of tweets as well as their context via linguistic corpora analysis. Following Norman Fairclough’s framework, the two opposing perspectives were investigated both at a level of textual analysis. The selected tweets were representative of the three hashtags that emerged on the heat of the discourse regarding the issue of women driving in Saudi Arabia: #Women_car_driving, #I_will_drive_my_car_June15, and #I_will_enter_my_kitchen_June15.
The results showed, among others, that tweets with the hashtag #Women_car_driving presented a tremendous support towards the movement. On the other hand strong opposing reactions emerged from the hashtags #I_will_drive_my_car_June15 and #I_will_enter_my_kitchen_June15.
Examining Twitter tweets and hashtags, the study explored how the discourse on women driving had been executed, particularly in between genders. The study analyzed a sizeable number of tweets as well as their context via linguistic corpora analysis. Following Norman Fairclough’s framework, the two opposing perspectives were investigated both at a level of textual analysis. The selected tweets were representative of the three hashtags that emerged on the heat of the discourse regarding the issue of women driving in Saudi Arabia: #Women_car_driving, #I_will_drive_my_car_June15, and #I_will_enter_my_kitchen_June15.
The results showed, among others, that tweets with the hashtag #Women_car_driving presented a tremendous support towards the movement. On the other hand strong opposing reactions emerged from the hashtags #I_will_drive_my_car_June15 and #I_will_enter_my_kitchen_June15.
ContributorsAljarallah, Rayya Sulaiman (Author) / Adams, Karen (Thesis advisor) / Gelderen, Elly van (Committee member) / Prior, Matthew (Committee member) / Arizona State University (Publisher)
Created2017