Bihar Special Intensive Revision Coverage: Press Bodies Express Concern over FIR Lodged Against Ajit Anjum
BEGUSARAI DISTRICT, BIHAR, JUL 14 – Ajit Anjum was charged after a viral video alleged irregularities in Bihar's electoral roll revision, with over 88% of voters included, officials said.
- On July 13, 2025, Bihar Police registered an FIR at Balia police station, booking independent journalist Ajit Anjum for interference in voter list revision and provoking communal tensions.
- Amid the Election Commission of India’s June 24 announcement on voter list revision, Ajit Anjum visited a Balia block polling booth on July 12, claiming on his YouTube channel that enumeration forms were missing photos and signatures.
- According to a complaint by BLO Mohammed Ansarul Haque, Ajit Anjum entered the booth auditorium without permission and questioned the revision process, hampering work for about an hour and prompting charges of criminal trespass, disobeying lawful orders, obstructing a public servant and hurting religious feelings.
- The Press Club of India and Indian Women’s Press Corps expressed concern over the FIR against Ajit Anjum, viewing it as a `direct assault on independent journalism and the public’s right to know the truth`.
- Legal experts say the case may open a wider debate on balancing press freedom and journalistic responsibilities, while the Election Commission has yet to issue a formal response to the allegations.
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FIR against senior journalist Ajit Anjum for reporting on Bihar's voter list process
The Bihar police have lodged an FIR against senior journalist turned YouTuber Ajit Anjum over allegations that he and his team forcibly entered a booth auditorium, interfered in the electoral roll revision process and tried to create a communal environment. Journalist Ajit Anjum has been booked based on a complaint by a Booth Level Officer (BLO), Mohammed Ansarul Haque, who works at the booth auditorium in Sahibpur Kamal Assembly constituency. A…
Coverage Details
Total News Sources14
Leaning Left7Leaning Right1Center0Last UpdatedBias Distribution88% Left
Bias Distribution
- 88% of the sources lean Left
88% Left
L 88%
13%
Factuality
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