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Karnataka Congress MLA Vinay Kulkarni Convicted of BJP Worker's 2016 Murder; Land Row, Political Rivalry Among 'Motives'
The court ordered immediate custody for Kulkarni and 16 others after a nearly six-year trial in the 2016 killing, with sentencing set for Thursday.
- On Wednesday, a Bengaluru special court convicted Congress MLA Vinay Kulkarni and 16 others for the 2016 murder of Bharatiya Janata Party worker Yogesh Gowda in Karnataka.
- The CBI investigation identified Kulkarni as the mastermind, driven by political rivalry after Gowda declined to withdraw from the 2016 Zilla Panchayath election.
- Judge Santosh Gajanan Bhat ordered perjury proceedings against police officers Shivananda Chalavadi and Babu Katagi for attempting to protect the accused during the nearly six-year trial.
- Authorities transferred all 17 convicted individuals to Bengaluru Central Prison in Parappana Agrahara under tight security, with sentencing scheduled for Thursday.
- This conviction impacts the Dharwad Assembly constituency, where Kulkarni won the 2023 election despite legal restrictions that prevented him from entering the area.
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Convicted Congress MLA Vinay Kulkarni had threatened OpIndia over reports repeatedly
OpIndia received 12 emails from a brand protection firm acting for Congress MLA Vinay Kulkarni seeking removal of reports. OpIndia was threatened of legal action if reports were not removed. The reports were not removed.
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Times of India
Karnataka Congress MLA Vinay Kulkarni convicted of BJP worker's 2016 murder; land row, political rivalry among 'motives'
A special court in Bengaluru convicted former Congress minister Vinay Kulkarni and 16 others for plotting and executing the murder of BJP worker Yogesh Gowda in 2016. The court found them guilty of murder and conspiracy, with sentencing to be announced Thursday. Kulkarni, who was present ...
Coverage Details
Total News Sources13
Leaning Left3Leaning Right4Center1Last UpdatedBias Distribution50% Right
Bias Distribution
- 50% of the sources lean Right
50% Right
L 38%
12%
R 50%
Factuality
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