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Storyin the news for 3 days

Parties involvedTVK

TVK woman office-bearer arrested in Kanyakumari rowdy murder

குமரி ரவுடி கொலையில் தவெக பெண் நிர்வாகி கைது

A TVK woman office-bearer, identified as the rowdy’s wife, and her son were arrested in the murder case, after which the TVK leadership removed her from the party post.

5 articles4 outlets

Maalaimalar, Hindu Tamil Thisai

Headline trend · modelled estimateSlowing
How this estimate is made

A rule on article timing, not a poll or a result: ongoing = new articles in the last 24 hours; cooling = none for 24 hours; ended = none for 72 hours. Headline volume: 0 new articles in the last 24 hours. Comparison window: the last 24 hours, and 72 hours since the latest article. Last computed 05:34 IST.

Auto-compiled from 5 articles; AI-written summary, rule-checked · How this page is made

What we know

  • Hindu Tamil Thisai reported that the wife and son of a Kanyakumari rowdy were arrested in his murder case.
  • Vikatan and Oneindia Tamil reported that a TVK woman office-bearer was arrested for allegedly killing her husband.
  • Maalaimalar reported that the TVK leadership removed the woman office-bearer who was arrested in the rowdy murder case.

Key facts

First reported
26 October
02:39 IST
Latest report
28 October
15:05 IST
Articles / outlets
5 / 4
none in 24h
Span
in the news for 3 days

5 articles = every report we hold on this story. 4 headlines = the same reports with repeated headlines merged (an outlet re-publishing, or several outlets carrying one headline within 6 hours); the timeline and the people box count headlines.

Story analytics

Articles per day

No new articles in the last 24 hours

Articles per day
26 October3
27 October0
28 October2
29 October0
30 October (partial)0

Top outlets

  • Maalaimalar2
  • Hindu Tamil Thisai1
  • Oneindia Tamil1

How it developed

4 headlines, newest first, by day (IST).

28 October1 headline

26 October3 headlines

More developing stories

How this page is made

Published Updated

An automatic clusterer groups articles from the outlets we follow into one story when they report the same event. Each article counts once, however many feeds carried it.

Before a story is published, an AI editor (a language model) proposes a neutral name, a dek naming the parties involved and a 2–4 sentence summary in which every sentence cites the reports it rests on. Rules then reject names with quotation marks, calls to action or one speaker's claim, and remove articles about another event or another state. A story that fails stays unpublished (not indexed, not on the front page).

A story is published only with at least 3 articles from at least 2 named outlets (at most 15 a day), and only when at least 40% of its headlines name a party, a leader or a political subject.

Every number is a count of articles we hold — no polls, no estimates. The headline trend is a rule on article timing.

Report an error. Spotted a wrong name, summary or link? Write to us with the page address: [email protected]. Corrections are made on this page. Our corrections policy