iWorld
MCA and Meta collaborate to introduce WhatsApp Helpline
Mumbai: The Misinformation Combat Alliance (MCA) and Meta are working on launching a dedicated fact-checking helpline on WhatsApp in an effort to combat media generated using artificial intelligence which may deceive people on matters of public importance, commonly known as deepfakes, and help people connect with verified and credible information. The helpline will be available for the public to use in March 2024.
The industry-leading initiative will allow MCA and its associated network of independent fact-checkers and research organisations to address viral misinformation – particularly deepfakes. People will be able to flag deepfakes by sending it to the WhatsApp chatbot which will offer multilingual support in English and three regional languages (Hindi, Tamil, Telugu).
The MCA will set up a central ‘deepfake analysis unit’ to manage all inbound messages they receive on the WhatsApp helpline. They will work closely with member fact-checking organizations as well as industry partners and digital labs to assess and verify the content and respond to the messages accordingly, debunking false claims and misinformation.
The focus of the program is to implement a four-pillar approach – detection, prevention, reporting and driving awareness around the escalating spread of deepfakes along with building a critical instrument that allows citizens to access reliable information to fight the spread of such misinformation. With millions of Indians using WhatsApp, the collaboration between Meta and MCA represents a continued effort to empower users with tools to verify information on its service.
Commenting on the partnership, Meta director, public policy India Shivnath Thukral, “We recognize the concerns around AI-generated misinformation and believe combatting this requires concrete and cooperative measures across the industry. Our collaboration with MCA to launch a WhatsApp helpline dedicated to debunking deepfakes that can materially deceive people is consistent with our pledge under the Tech Accord to Combat Deceptive Use of AI in 2024 Elections. As a company that has been at the cutting edge of AI development for more than a decade, we remain committed to work with industry stakeholders to introduce common technical standards for AI detection, transparency solutions and policies, along with empowering people on our platforms with resources and tools that make it simpler for them to identify content that has been generated using AI tools and curb the spread of misinformation.”
“The Deepfakes Analysis Unit (DAU) will serve as a critical and timely intervention to arrest the spread of AI-enabled disinformation among social media and internet users in India. Its formation highlights the collaboration and whole-of-society approach to foster a healthy information ecosystem that the MCA was set up for. The initiative will see IFCN signatory fact-checkers, journalists, civic tech professionals, research labs and forensic experts come together, with Meta’s support. We hope the DAU will become a trusted resource for the public to discern between real and AI generated media and we invite more stakeholders to be a part of the initiative.” said Misinformation Combat Alliance president Bharat Gupta.
Meta’s robust fact-checking program in India includes partnerships with 11 independent fact-checking organizations that help users to identify, review, verify information and help prevent the spread of misinformation on its platforms. On WhatsApp, we encourage users to double-check information that sounds suspicious or inaccurate by sending it to WhatsApp tiplines. People can also follow dedicated fact-checking organizations on WhatsApp Channels to receive verified, accurate and timely updates. In addition to the fact-checking program, WhatsApp addresses misinformation by limiting forwards and actively constraining virality on the platform.
Our approach to addressing deceptive synthetic media at Meta has several components, including working to investigate deceptive behaviors like fake accounts and misleading manipulated media; our third-party fact-checking program, in which fact checkers rate misinformation, including content that has been edited or synthesized in a way that could mislead people; and engaging with academia, government and industry. We have recently announced an AI labeling policy. In the coming months, we will label images that users post to Facebook, Instagram and Threads when we can detect industry-standard indicators that they are AI-generated.
We have also pledged to help prevent deceptive AI content from interfering with this year’s global elections. The “Tech Accord to Combat Deceptive Use of AI in 2024 Elections” is a set of commitments to deploy technology countering harmful AI-generated content meant to deceive voters. Signatories, including Meta, pledge to work collaboratively on tools to detect and address online distribution of such AI content, drive educational campaigns, and provide transparency, among other concrete steps.
MCA is a cross-industry alliance bringing companies, organizations, institutions, industry associations, and entities together to collectively fight misinformation and its impact. Currently, MCA has 16 members including fact-checking organizations, media outlets, and civic tech and are inviting strategic partners to collaborate in this industry-wide initiative to combat misinformation and create an enlightened and informed society.
eNews
How short, addictive story videos quietly colonised the Indian smartphone
A landmark Meta-Ormax study of 2,000 viewers reveals a format that is growing fast, paying slowly and consumed almost entirely in secret
CALIFORNIA, MUMBAI: India has a new entertainment habit, and it arrived without anyone really noticing. Micro dramas, those short, cliffhanger-driven episodic stories built for the smartphone screen, have quietly embedded themselves into the daily routines of millions of Indians, discovered not by design but by algorithmic accident, watched not in living rooms but in bedrooms, on commutes and in the five minutes before sleep.
That, in essence, is the finding of a sweeping new audience study released by Meta and media insights firm Ormax Media at Meta’s inaugural Marketing Summit: Micro-Drama Edition. Titled “Micro Dramas: The India Story” and based on 2,000 personal interviews and 50 depth interviews conducted between November 2025 and January 2026 across 14 states, it is the most comprehensive study of the category in India to date, and its findings are striking.
Sixty-five per cent of viewers discovered micro dramas within the last year. Of those, 89 per cent stumbled upon the format through social media feeds, primarily Instagram and Facebook, without ever searching for it. The algorithm did the heavy lifting. Discovery, as the report puts it bluntly, is algorithm-led, not intent-led.
The typical viewer journey begins with accidental exposure while scrolling, moves through a cliffhanger-driven incompletion hook that makes stopping feel unfinished, and is reinforced by algorithmic repetition until habitual consumption sets in. Only then, when a platform asks for an app download or a payment, does the viewer pause. Trust, not content quality, determines what happens next, and many simply return to the free feed rather than pay. It is a funnel with a wide mouth and a narrow neck.
The numbers on consumption tell their own story. Viewers spend a median of 3.5 hours per week watching micro dramas, spread across seven to eight sessions of roughly 30 minutes each, peaking sharply between 8pm and midnight. Daytime viewing is snackable and low-commitment, squeezed into morning commutes, work breaks and coffee pauses. Night-time is where the format truly lives: private, uninterrupted and, for many viewers, socially invisible. Ninety per cent watch alone, compared to just 43 per cent for long-form OTT content. Half the audience watches during their commute, well above the 37 per cent figure for streaming platforms, a direct reflection of the format’s low time investment advantage.
The audience itself breaks into three segments. Incidental viewers, comprising 39 per cent of the total, are passive consumers who stumble in and rarely seek content actively. Intent-building viewers, the largest group at 43 per cent, are beginning to form habits and seek out episodes but remain cautious. High-intent viewers, just 18 per cent, are the ones who download apps, tolerate ads and occasionally pay: skewing male, younger and urban.
What audiences want from the content is revealing. The top three genres are romance at 72 per cent, family drama at 64 per cent and comedy at 63 per cent, precisely the same top three as Hindi general entertainment television. The format rewards emotional familiarity over complexity. Romance in particular thrives because it demands low cognitive investment, needs no elaborate world-building and plays naturally into the private, pre-sleep viewing window where inhibitions lower and emotional intimacy feels safe.
The most-recalled shows, led by Kuku TV titles such as The Lady Boss Returns, The Billionaire Husband and Kiss My Luck, share a common narrative DNA: rich-poor conflict, hidden identities, power imbalances, melodrama and cliffhangers that make stopping feel physically uncomfortable. Predictability, the research warns, is fatal. Each episode must re-earn attention from scratch.
The terminology question is telling. Despite the industry’s embrace of the phrase “micro drama,” viewers have not adopted it. They call the content “short story videos,” “short dramas,” “reels with stories” or simply “serials.” One respondent from Chennai said bluntly that “micro sounds like a scientific word.” The category is at the stage that OTT occupied in 2019 and podcasts in the same year: widely consumed, poorly named and not yet crystallised in the public imagination.
Platform awareness remains alarmingly thin. Only three platforms, Kuku TV at 78 per cent, Story TV at 46 per cent and Quick TV at 28 per cent, have crossed the 20 per cent awareness threshold. The rest languish in single digits. This creates a trust deficit that directly throttles monetisation: viewers who cannot remember which app they used are hardly primed to enter their payment details.
Yet the appetite is clearly there. Sixty-five per cent of viewers watch only Indian content, drawn by the TV-serial familiarity of the storytelling, the comfort of Hindi as a shared language and the sight of actors they half-recognise from decades of television. South languages are rising fast: Tamil, Telugu and Kannada together account for 24 per cent of first-choice viewing. And AI-generated content, still a novelty, has landed better than expected: 47 per cent of viewers call it creative and unique, with only 6 per cent actively rejecting it.
Shweta Bajpai, director, media and entertainment (India) at Meta, called micro drama “a category that is rewriting the rules of Indian entertainment,” adding that the discovery engine being social distinguishes this wave from previous content formats. Shailesh Kapoor, founder and chief executive of Ormax Media, was characteristically measured: the format, he said, is showing “the early signs of becoming a distinct content category” and, given how closely it aligns with natural mobile behaviour, “has the potential to scale very quickly.”
The format’s fundamental mechanics are working. It enters lives quietly, through boredom and a scrolling thumb, and burrows in through incompletion and habit. The challenge now is monetisation: converting a category of highly engaged but deeply anonymous viewers into paying customers who trust the platform enough to hand over their UPI credentials. The story, as any micro-drama writer knows, is only as good as the next cliffhanger. India’s platforms had better have one ready.
