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Court Grants Bail to Journalists in Defamation Case
- On Wednesday, Telangana Police arrested two journalists linked to NTV: Donthu Ramesh at Hyderabad airport and Sudheer at his residence for allegedly defamatory content.
- The complaint filed by Jayesh Ranjan alleged NTV's January 8 telecast made `completely false, fabricated and baseless` claims, used sexual innuendo and indirectly identified a serving woman Indian Administrative Service officer.
- Authorities formed a Special Investigation Team led by VC Sajjanar and registered cases under the Bharatiya Nyaya Sanhita, Information Technology Act, and Indecent Representation of Women Prohibition Act, while investigators searched the NTV office, Hyderabad, seizing computers and hard disks.
- Magistrates granted bail with passport-surrender conditions after the journalists were produced before a magistrate on Thursday.
- State minister Komatireddy Venkat Reddy denied allegations on Saturday and promised legal action, while police probe an obscene image of Chief Minister Revanth Reddy in a WhatsApp group and Paripurna Chari, NTV reporter, was detained then released.
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17 Articles
17 Articles
2 Telangana Journalists, Arrested For 'Fake News' On Woman IAS Officer, Get Bail
The two journalists—Dasari Sudheer and Donthu Ramesh—were arrested by Hyderabad Police as part of a Special Investigation Team (SIT) probe based on a complaint from senior IAS officer Jayesh Ranjan.
·New Delhi, India
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Telangana IAS officer defamation: Journalists granted bail
Hyderabad: The 14th Additional Chief Metropolitan Magistrate (ACMM) in Hyderabad’s Nampally on Thursday, January 15, granted bail to two NTV journalists arrested in IAS officer defamation case. The journalists, including NTV Input Editor Donthu Ramesh and Sudheer were produced before the Magistrate at her residence. On Wednesday, they were arrested from the Hyderabad airport after airing a controversial report alleging that a woman IAS officer …
Coverage Details
Total News Sources17
Leaning Left5Leaning Right2Center1Last UpdatedBias Distribution63% Left
Bias Distribution
- 63% of the sources lean Left
63% Left
L 63%
12%
R 25%
Factuality
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