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CollegiateTimes - Tweet Data Analysis

Tweets Analysis - Keyword: @CollegiateTimes

Publie le 06/04/2023

Resume

Tweets covering

2 days

Latest tweet was on

2023-03-21

Earliest tweet was on

2023-03-18

Total number of tweets analysed

Average age of authors' accounts

10 years

Resume

There are no tweets provided to summarize.

Modelisation des Sujets

Politics/Elections
Social Justice
Covid-19 Pandemic
Sports/Entertainment
Climate Change/Environmental Issues

Analyse des Sentiments

As there are no tweets provided, I cannot provide a summary of the emotions expressed in them.

Analyse des Tendances

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."

Avertissement : L'analyse de texte de twtdata.com utilise OpenAI et ne represente pas les opinions de twtdata.com ou de ses affilies. L'analyse est uniquement a titre informatif et ne constitue pas une approbation d'une quelconque opinion.

Types de Tweets

Number of Retweets

100% du total

Number of Original tweets

0% du total

Number of tweets that were Quotes

0% du total

Number of tweets that were Replies

0% du total

Number of tweets that contain Hashtags

0% du total

Number of tweets that contain Mentions

100% du total

Appareils Utilises pour Tweeter

Top 5 Appareils

Source	Count
Twitter Web App	2
Twitter for Android	1

Repartition des Appareils

Top 10 Comptes par Abonnes

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 Comptes par Abonnements

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

Utilisateurs les Plus Actifs

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