← Zurück zum Blog

CollegiateTimes - Tweet Data Analysis

Tweets Analysis - Keyword: @CollegiateTimes

Veröffentlicht am 6. April 2023

Übersicht

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

Zusammenfassung

There are no tweets provided to summarize.

Themenmodellierung

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

Emotionsanalyse

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

Trendanalyse

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."

Haftungsausschluss: Die Textanalyse auf twtdata.com, unterstützt durch OpenAI, stellt nicht die Ansichten von twtdata.com oder seinen verbundenen Unternehmen dar. Die Analyse dient nur zu Informationszwecken und ist keine Bestätigung einer Meinung.

Tweet-Arten

Number of Retweets

100% vom Gesamten

Number of Original tweets

0% vom Gesamten

Number of tweets that were Quotes

0% vom Gesamten

Number of tweets that were Replies

0% vom Gesamten

Number of tweets that contain Hashtags

0% vom Gesamten

Number of tweets that contain Mentions

100% vom Gesamten

Verwendete Geräte zum Tweeten

Top 5 Geräte

Source	Count
Twitter Web App	2
Twitter for Android	1

Geräteverteilung

Top 10 Konten nach Followern

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 Konten nach Following

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

Aktivste Nutzer

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