Washington: The use of artificial intelligence to summarise news has expanded rapidly which has reshaped how readers consume and interpret daily information. Major technology companies have introduced AI-powered summaries across platforms, including tools that analyse scanned newspaper clippings and condensed search results. These are positioned as quicker alternatives to traditional news reading.

Earlier this year, a study highlighted by The Guardian warned that AI-generated summaries could have a “devastating impact” on digital news outlets, citing evidence of up to an 80 per cent drop in click-through traffic as readers increasingly rely on AI-generated answers instead of visiting original news websites.

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Beyond economic consequences, experts have raised alarms about factual accuracy and embedded bias. Tim Graham, Director of Media Analysis at the US-based Media Research Center, recently argued that AI news summaries cannot be fully accurate because they depend on source material that may itself be biased, even if such sources are categorised as credible by AI systems. Speaking on the programme No Spin News with American journalist Bill O’Reilly, Graham said this limitation applies across platforms, including Grok, ChatGPT and Gemini.

Echoing these concerns, media scholar Dr. Mrinal Chatterjee, professor at the Indian Institute of Mass Communication in Dhenkanal, told Hinduatan Times that current AI systems lack the contextual understanding and common sense required to identify and filter bias. He further claimed that artificial intelligence reflects the opinions encoded in its training data. It cannot independently identify prejudice or narrative.

Dr Chatterjee stresses that discerning bias is a human responsibility that requires awareness, education, and critical engagement with news content. He points out that media bias can result from either deliberate influence or unintentional errors, and that while not all media organizations are biased, the risk is always there.

To address these challenges, while some readers and institutions are turning to analytical tools designed to assess media bias, platforms such as AllSides are providing comparative analysis of news outlets across ideological spectrums.

In the United States, the White House has also launched an online portal aimed at tracking media bias and misinformation. The platform catalogues what it describes as false or misleading reports, maintains a public list of repeat offenders.

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Thane (PTI): Police have arrested a 22-year-old man from Pune who had been absconding for more than a year after being accused in a gangrape and robbery case in Maharashtra’s Thane district, officials said on Tuesday.

The accused, identified as Nagesh Keshav Gaikwad, was part of a group that allegedly confined a woman and sexually assaulted her under the pretext of getting her a job in November 2024, Naigaon police station's senior inspector Sanjay Hazare said.

The accused had been evading arrest by hiding his identity since the case was registered. Following a tip-off and technical surveillance, the police tracked him to Kamshet and took him into custody on Sunday, he said.

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The case dates back to November 27, 2024, when the victim went from here to Pune seeking employment. After missing an interview, she contacted her husband's friend Pawan Rajendra Prasad Sabbat (29), who promised to help her find work.

Sabbat then lured her to come to Mira Road in Thane, where he allegedly confined her in a room, the official said.

The investigation showed that Sabbat and two of his accomplices - Dhanraj Chavan (21) and Abhishek Pujari (22) - allegedly sexually assaulted the victim over several days. They also allegedly robbed the woman of her mobile phone, gold jewellery and cash, collectively valued at Rs 75,000, he said.

Sabbat also allegedly created a fake Instagram profile using the victim's name and uploaded her photographs to harass her.

Gaikwad was accused of molesting the victim and being involved in the robbery, Hazare said.

The Naigaon police had earlier arrested Sabbat, Chavan and Pujari.

"We have booked the accused under various Bharatiya Nyaya Sanhita (BNS) sections, including 64(2)(m) (rape), 309(1) (robbery), 70 (gang rape) and 75(1)(4) (sexual harassment), and relevant provisions of the Information Technology. During preliminary interrogation, Gaikwad has confessed to his involvement," Hazare said.