Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 74 for “"Tweet"”.
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Predicting Audience Tweet Engagement
… we present methods to analyze an influencer’s tweets and audience. We then use these results to predict which segments of an influencers audience will interact with different types of posts. These insights can help determine which areas an influencer has the greatest potential to make an impact …
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Clustering Tweets via Tweet Embeddings
… where users interact through follows and tweets. This work explores computational methods of analyzing tweets with regards to understanding users and their interests. We consider various embedding models to produce tweet embeddings, which we then use to cluster the tweets, forming groups …
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Local event detection in geo-tagged tweet streams
… studies have demonstrated that the geo-tagged tweet stream serves as an unprecedentedly valuable source for local event detection. Nevertheless, how to effectively extract local events from massive geo-tagged tweet streams in real time remains challenging. To bridge the gap, we propose a method …
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An unsupervised approach to COVID-19 fake tweet detection
… (76% accuracy was achieved) in determining fake tweets about Covid-19. K-means algorithm using Bert word embedding is the best performing model followed by Mini-Batch K-means using TF-IDF word embedding (69% accuracy was achieved). Conclusions: The study demonstrates that clustering Twitter …
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The Tweet Delete of Congress: Congress and Deleted Posts on Twitter
… may be leading politicians to delete their tweets, but thanks to the Sunlight Foundation and its website Politwoops, deleted tweets by politicians are now archived and ripe for political research. This raises the question Which members of Congress are deleting tweets and why? Thus, I conduct …
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A Combinatorial Tweet Clustering Methodology Utilizing Inter and Intra Cosine Similarity
… emerged as a source of data where millions of tweets are generated everyday. They include tweets from individuals who share thoughts, commentary and their feelings about a wide variety of subjects. Social media also attracts marketers and businesses for the purpose of advertising, brand imaging …
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Disaster tweet classification using parts-of-speech tags: a domain adaptation approach
… lives. Among many other types of events, people tweet about disaster events. Both man made and natural disasters, unfortunately, occur all the time. When these tragedies transpire, people tend to cope in their own ways. One of the most popular ways people convey their feelings towards disaster …
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By Tweet and By Speech: An Examination of Values in Donald Trump's Metaphor
… Then, I classify Trump’s public speeches and tweets into separate categories, which include the ways in which his speech has affected public reaction. In these categories, I apply George Lakoff and Mark Johnson’s philosophy of language to Trump’s remarks, and I reveal the values expressed in …
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“Tweet of the town:” synthesizing local and social media discourse on book bans
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms
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Share, like, tweet and cheer: an examination of social media usage and the NFL
Sport is an integral part of American society and no sport in the United States has achieved a greater following than the National Football League (NFL). The introduction and implementation of social media is granting fans unprecedented access to leagues, teams, and players. and providing sport …
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‘Like’ us, tweet about it and don’t forget to visit! – How destination marketing organizations use social media
Destination Marketing Organizations (DMOs) are using Social Media (SM) to promote their destinations, attract tourists and communicate with the destination stakeholders. This study sought to understand how DMOs use SM, how DMOs adopt SM, what the desired outcomes from SM use are and how SM outcomes …
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Arcana: Private tweets on a public microblog platform
… users increasingly realize the vulnerability of tweets and have reservations of showing certain tweets to different follower groups, such as colleagues, friends and other followers. However, Twitter does not offer enough privacy protection or access control functions. Users can just set an …
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Detecting Public Transit Service Disruptions Using Social Media Mining and Graph Convolution
… transit disruption related information in Tweets from a live Twitter stream related to the Washington Metropolitan Area Transit Authority (WMATA) metro system. After developing three different models, a Dynamic Query Expansion model, a Tweet-GCN and a Tweet-Level GCN to represent the data …
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COVID-19 misinformation on Twitter: the role of deceptive support
… presents a novel pipeline to determine whether a Tweet is indeed supported by the news article it refers to. The approach follows two general objectives: to develop a model capable of detecting Tweets containing claims that are worthy of fact-checking and then, to assess whether the claims made in …
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Sentiment Analysis on Twitter feeds to establish opinion towards entities in single entity and multi-entity texts
… the sentiment polarity and intensity at the tweet level. One problem with the traditional type of binary classification, is that the sentiment output is usually in the form of ‘1’ (positive) or ‘0’ (negative) for the string of text in the tweet, regardless if there are one or more entities …
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Investment in and use of English: a case study of Egyptian Twitter users
… their identities on Twitter. Approximately 3000 tweets are gathered from Twitter and coded in relation to the topics they tweet about and the language they tweet in. After coding the tweets, interviews were conducted with the participants to further triangulate the data exploring their …
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Geo-Locating Tweets with Latent Location Information
… (GETAR) project, we collected over 1.4 billion tweets using over 1,000 keywords, key phrases, mentions, or hashtags, starting from 2009. Since many tweets talk about events (with useful location information), such as natural disasters, emergencies, and accidents, it is important to geo-locate …
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A Framework for Hadoop Based Digital Libraries of Tweets
… Laboratory (DLRL) has collected over 1.5 billion tweets for the Integrated Digital Event Archiving and Library (IDEAL) and Global Event Trend Archive Research (GETAR) projects. Researchers across varying disciplines have an interest in leveraging DLRL's collections of tweets for their own …
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An analysis on information diffusion by retweets in Twitter
This dissertation examines retweeting activities as the information spreading function of Twitter. First, we investigated what kind of features of a tweet help to get retweets. We construct a model that describes peoples' decision making on retweets, and with related observation, we show that more …
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Economic Spillovers and Learning from Others
… success is defined as the average followers per Tweet - a common measure of "Twitter success" - among all prior adopters. The data suggests that accelerated adoption can be associated with favorable past outcomes: increasing the average number of followers per Tweet among past adopters by a …
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