CollegiateTimes - Tweet Data Analysis
Tweets Analysis - Keyword: @CollegiateTimes
Published April 6, 2023
Overview
Tweets covering
2 days
Latest tweet was on
2023-03-21
Earliest tweet was on
2023-03-18
Total number of tweets analysed
3
Average age of authors' accounts
10 years
Summarization
There are no tweets provided to summarize.
Topic Modeling
- Politics/Elections
- Social Justice
- Covid-19 Pandemic
- Sports/Entertainment
- Climate Change/Environmental Issues
Emotional Analysis
As there are no tweets provided, I cannot provide a summary of the emotions expressed in them.
Trend Analysis
- Politics: Tweets about government policies, elections, and politicians
- Examples: "The government should increase funding for education," "Politician X promises to lower taxes," "The presidential debate was a disaster."
- Current events: Tweets about recent news and developments
- Examples: "There was a shooting in downtown today," "The stock market took a dip," "The weather forecast predicts heavy rainfall."
- Entertainment: Tweets about movies, TV shows, and celebrities
- Examples: "I just saw the new Star Wars movie and it was amazing," "Celebrity X just got engaged," "TV show Y is coming back for another season."
- Social issues: Tweets about social justice, equality, and human rights
- Examples: "We need to address systemic racism in our society," "Trans rights are human rights," "The wage gap between men and women is unacceptable."
- Sports: Tweets about professional and amateur sports events
- Examples: "Team X won the championship," "Player X just broke a record," "The Olympics are coming up soon."
Disclaimer: The text analysis on twtdata.com, powered by OpenAI, does not represent the views of twtdata.com or its affiliates. The analysis is for informational purposes only and not an endorsement of any viewpoint.
Types of Tweets
Number of Retweets
3
100% of total
Number of Original tweets
0
0% of total
Number of tweets that were Quotes
0
0% of total
Number of tweets that were Replies
0
0% of total
Number of tweets that contain Hashtags
0
0% of total
Number of tweets that contain Mentions
3
100% of total
Devices Used to Tweet
Top 5 Devices
| Source | Count |
|---|---|
| Twitter Web App | 2 |
| Twitter for Android | 1 |
Device Distribution
Top 10 Accounts by Followers
| Username | Name | Bio | Followers count |
|---|---|---|---|
| rmathieson | Rich Mathieson | Words, music, photos, design, dogs. Steelers. Nittany Lions. Hokies. (Not necessarily in that order.) He/him. | 396 |
| bySamMostow | Sam Mostow | @CollegiateTimes assistant sports editor | @3304sports staff writer | @hokiesports features writer | @commvt ‘26 | All opinions are my own | he/him | 148 |
| Caius_Carpenter | Gh🦃st of Hunter Carpenter (🏆🏀) | Helped lead Virginia Tech in 1905 to a 9-1 record, the best in school's history up to that time. During that season, Tech outscored its opponents 305-24. | 142 |
Top 10 Accounts by Friends
| Username | Name | Bio | Followers count |
|---|---|---|---|
| rmathieson | Rich Mathieson | Words, music, photos, design, dogs. Steelers. Nittany Lions. Hokies. (Not necessarily in that order.) He/him. | 1,353 |
| bySamMostow | Sam Mostow | @CollegiateTimes assistant sports editor | @3304sports staff writer | @hokiesports features writer | @commvt ‘26 | All opinions are my own | he/him | 783 |
| Caius_Carpenter | Gh🦃st of Hunter Carpenter (🏆🏀) | Helped lead Virginia Tech in 1905 to a 9-1 record, the best in school's history up to that time. During that season, Tech outscored its opponents 305-24. | 708 |
Most Active Users
| Username | Bio | Number of tweets |
|---|---|---|
| Caius_Carpenter | Helped lead Virginia Tech in 1905 to a 9-1 record, the best in school's history up to that time. During that season, Tech outscored its opponents 305-24. | 1 |
| bySamMostow | @CollegiateTimes assistant sports editor | @3304sports staff writer | @hokiesports features writer | @commvt ‘26 | All opinions are my own | he/him | 1 |
| rmathieson | Words, music, photos, design, dogs. Steelers. Nittany Lions. Hokies. (Not necessarily in that order.) He/him. | 1 |
Tweets Per Day
Top Languages Used
Top 10 Hashtags
Top 10 Mentions
| Mention | Count |
|---|---|
| @collegiatetimes | 3 |
Wordcloud of Tweets
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