Tweets Analysis - Keyword: @CollegiateTimes
Overview
Total number of tweets analysed
3
Earliest tweet was on
2023-03-18
Latest tweet was on
2023-03-21
Tweets covering
2 days
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."
Types of Tweets
Number of Retweets
3
Percentage of total tweets
100%
Number of Original tweets
0
Percentage of total tweets
0%
Number of tweets that contain Mentions
3
Percentage of total tweets
100%
Number of tweets that were Replies
0
Percentage of total tweets
0%
Number of tweets that were Quotes
0
Percentage of total tweets
0%
Number of tweets that contain Hashtags
0
Percentage of total tweets
0%
Top 5 devices used to tweet
| Source | Count |
|---|---|
| Twitter Web App | 2 |
| Twitter for Android | 1 |
What devices were used to tweet
Top 10 accounts with highest followers count
| 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 with highest friends count
| 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 3 Languages Used In Tweets
Top 10 mentions
| Mention | Count |
|---|---|
| @collegiatetimes | 3 |
Top 10 mentions
Wordcloud of Tweets
