July 2026 Fact-Check Report: 29 Major Misinformation Incidents Documented Across Bharat’s Digital Ecosystem

NEW DELHI — A comprehensive fact-check report covering July 1–31, 2026, has documented 29 major misinformation incidents circulated across social media and digital media platforms throughout Bharat, with every single case examined in the report classified as false, misleading, or entirely fabricated. The 46-page report presents a disturbing picture of how disinformation has become increasingly sophisticated, visually manipulated, and politically charged, with social media influencers emerging as the primary vectors for spreading false narratives. According to the report’s statistical breakdown, social media influencers accounted for the largest share of incidents, responsible for 19 cases representing 65.52% of all documented misinformation, followed distantly by media portals and journalists with seven cases at 24.14%. RSS-related narratives contributed two cases at 6.90%, while political leaders accounted for one incident at 3.45%. These figures, the report emphasizes, point unmistakably to social media as the principal channel through which misleading political, communal, defence, and protest-related narratives gained circulation throughout the month, raising serious questions about the accountability of influential content creators who command vast audiences across platforms like YouTube, X (formerly Twitter), Instagram, and Facebook.

The report’s broader statistical picture reveals a misinformation environment heavily concentrated around political narratives, which accounted for 12 of the 29 incidents, representing 41.38% of all documented cases. Defence and security misinformation and social-issue or protest misinformation each contributed four incidents, accounting for 13.79% respectively, while communal or religious propaganda accounted for three incidents at 10.34%. RSS-related narratives made up two cases at 6.90%, while government schemes, digital governance, infrastructure, and development topics each appeared in smaller numbers, demonstrating that no sector of public discourse was immune to manipulation. The report therefore portrays July’s misinformation landscape as one dominated by politically sensitive issues, public protests, national security concerns, and socially divisive topics — precisely the areas where false information can cause the most significant damage to social cohesion, public trust in institutions, and democratic discourse. The concentration of misinformation around these sensitive areas suggests a coordinated or at least systematic effort to exploit public emotions and polarize opinions on contentious issues, with fact-checkers working overtime to verify and debunk claims that often went viral within hours of being posted, reaching millions of users before corrections could gain traction.

Fabricated Statements and Manipulated Visuals Dominate Misinformation Techniques

One of the clearest patterns identified in the report was the systematic use of fabricated or misattributed statements, a technique that proved highly effective in deceiving audiences. Misattributed quotes accounted for 12 incidents, representing 41.38% of all documented cases, making them the single most common misinformation technique employed during July. The report documents how genuine photographs, television graphics, and news templates were altered and then presented as authentic statements by political leaders, public personalities, military officials, and ideological figures, lending an air of credibility to entirely fabricated content. False contextualization accounted for another six incidents at 20.69%, while AI-generated or AI-manipulated images and videos accounted for five cases at 17.24%, highlighting the growing role of artificial intelligence in creating convincing but entirely fake content. The report also identified recycled content, where old videos and images were presented as current events, and fabricated documents as recurring methods used by misinformation peddlers to deceive the public. Perhaps most concerning, several of the most prominent cases involved Prime Minister Narendra Modi and other senior political figures, suggesting that targeting high-profile leaders remains a favoured strategy for those seeking to generate maximum engagement and confusion.

Among the most alarming cases documented in the report was a purported resignation letter carrying PM Modi’s signature that circulated widely on July 29, which the report conclusively determined to be digitally fabricated, confirming that no such resignation letter had ever been issued or signed by him. Other manipulated graphics falsely attributed various remarks to Modi, including a viral claim that he had said he had both a man and a woman within him during a Mann Ki Baat address, and another that he had claimed to be the best student in his school — both of which the report says were created by altering original media graphics to insert entirely different statements. The pattern of targeting prominent figures extended well beyond the prime minister, encompassing celebrities, opposition leaders, and religious figures. A fabricated post claimed that actor Deepika Padukone had criticized Modi while supporting Sonam Wangchuk’s hunger strike, but the report confirms no such post ever appeared on her verified social media accounts, yet the fake post reportedly garnered thousands of shares before being debunked. A digitally altered graphic also falsely portrayed former Bangladesh Prime Minister Sheikh Hasina as warning Modi that Bharat could face the same fate as Bangladesh, playing on regional tensions and geopolitical anxieties. Another manipulated graphic attributed an insulting statement about welfare beneficiaries to BJP president J.P. Nadda, while a fabricated postcard falsely claimed that Shankaracharya Avimukteshwaranand had predicted Yogi Adityanath’s return as Uttar Pradesh Chief Minister in 2027. In every case, the report emphasizes, the original statements or source material did not support these claims, yet the fabricated versions spread rapidly across social media platforms before fact-checkers could intervene.

Defence Narratives and National Security Targeted by AI-Manipulated Content

Defence and national-security narratives formed another critical cluster of misinformation during July, with four documented incidents exploiting public sensitivities around territorial integrity and military operations. One viral video that circulated extensively was presented as evidence that China had crossed the Bharat border to capture Bharatiya territory, playing on longstanding public concerns about border disputes and national sovereignty. However, the fact-check investigation revealed that the footage actually dated to April 2026 and reportedly showed an Assam Rifles convoy confronting a barricade erected by local women in Talui village in Manipur, a completely different context from what the viral posts claimed. In another case, an old 2021 video showing Chinese People’s Liberation Army personnel being intercepted by Bharatiya security forces near Bum La in Arunachal Pradesh was recirculated as evidence that China was establishing a new colony on the Bharatiya side of the Line of Actual Control, the de facto border between the two nations. The report categorically states that neither video had any connection to the claims with which it was circulated, yet both managed to generate significant engagement before being debunked, demonstrating how recycled footage continues to be a powerful tool for manufacturing false narratives around sensitive geopolitical issues.

The intersection of artificial intelligence and defence misinformation proved particularly concerning, as AI manipulation entered the defence-information space with alarming sophistication. A viral video featuring Lt Gen Rajeev Puri was circulated with the claim that he had ordered additional forces to New Delhi amid protests, implying military involvement in domestic political matters — a highly sensitive subject in any democracy. According to the report, the video had been generated or manipulated using AI, with fabricated audio superimposed on an older press interaction, creating a convincing but entirely false narrative. The fact-check found no official statement or credible news report supporting the alleged deployment announcement, yet the video apparently convinced many viewers of its authenticity. Another case involved an AI-manipulated video of BJP MP Ravi Kishan, which was falsely linked to the Bharat Tiwari encounter, a controversial incident that had generated significant public attention. The report says Kishan’s original remarks concerned the broader law-and-order situation in Uttar Pradesh and did not refer to the alleged encounter at all, yet the manipulated version created the false impression that a senior political figure was commenting on a specific sensitive case. These cases highlight how AI technology has dramatically lowered the barrier to creating convincing fake content, allowing even those with limited technical skills to manipulate video footage, superimpose voices, and create entirely fabricated scenarios that are increasingly difficult for average users to distinguish from authentic content.

Protest Misinformation and Communal Narratives Exploit Social Divisions

Protest-related misinformation formed a separate four-incident cluster that exploited public demonstrations and social unrest to spread false narratives, often with the aim of discrediting protesters or inflaming tensions. Viral posts claimed that Delhi Police had used batons fitted with nails against protesters, a shocking allegation that quickly generated outrage across social media platforms as images appeared to show the alleged weapons. However, the report says police had clarified that the nail-fitted-baton footage was unrelated to the protest in question, with the video apparently originating from a completely different context and time. Another video was presented as showing Delhi Police assaulting women during demonstrations, further inflaming public anger, but the report found it was actually footage from Dehradun in October 2025 involving a dispute after a truck crashed into a house — entirely unrelated to the protests. A separate claim that activist Sonam Wangchuk had died during a hunger strike also proved to be completely false, with the report noting that there had been no official confirmation of his death, yet the baseless claim apparently spread rapidly, causing unnecessary alarm and distress among his supporters. The pattern of protest-related misinformation suggests deliberate attempts to either vilify security forces or create martyrs where none existed, depending on the narrative goals of those spreading the content.

Religious and communal narratives also featured prominently in July’s misinformation landscape, with three documented incidents exploiting religious sensitivities to generate division. A claim circulated by PDP leader Mehbooba Mufti alleged that Friday prayers and the Azaan had been restricted at the historic Pakherpora Mosque in Budgam, a sensitive religious site in Jammu and Kashmir. The report says security officials clarified that a cordon-and-search operation was underway in the area but that Friday prayers and the Azaan had proceeded as scheduled, directly contradicting the allegations. The report also examined repeated claims concerning the Ancient Hanuman Temple in Connaught Place, where social media posts alleged that the temple had been closed to prevent student protesters from entering. According to the fact-check, the students were already inside the temple, and the premises were briefly closed on police instructions to maintain order and safety following a heated exchange — a far cry from the narrative of religious institutions being weaponized against protesters. These cases demonstrate how communal misinformation can spread rapidly even when official sources provide immediate clarifications, and how religious sites and practices can become battlegrounds for disinformation campaigns designed to exploit existing social tensions and historical grievances.

International Figures, Government Policies, and Institutional Targets

The report also identified a troubling pattern of misinformation involving international figures, infrastructure projects, and government policies, suggesting that no topic was too obscure or too significant to escape manipulation. An edited Navbharat Times graphic falsely claimed that Donald Trump had called Bharat a dictatorship, a provocative allegation that would have significant diplomatic implications if true. However, the report says the original remarks concerned free and fair elections generally and did not make the alleged statement about Bharat, meaning the graphic had been doctored to completely reverse the former US president’s actual meaning. Another AI-generated graphic falsely claimed that a Chinese journalist had exposed massive commissions in the Statue of Unity project, one of Bharat’s most prominent infrastructure achievements. The report revealed that the woman shown was actually Chinese Vice Foreign Minister Hua Chunying and not a journalist at all, yet the fabricated claim apparently gained sufficient traction to require fact-checking. A separate AI-generated video falsely claimed that Modi had announced a free mobile phone scheme for Aadhaar and ration-card holders, a government-benefit hoax that could potentially mislead vulnerable populations seeking financial assistance. The report says no such Central Government scheme had been announced, but the video nevertheless circulated widely among users eager to learn about new welfare programs.

Digital governance became another target during July when The Print reported that a MeitY body had directed ministries to hold off on deploying OpenAI and Anthropic cybersecurity models, a story with significant implications for India’s technology sector and national security. The report records a subsequent MeitY clarification that no such direction or advisory prohibiting ministries from using OpenAI or Anthropic had been issued, suggesting the original story was either based on unverified sources or deliberately fabricated to create confusion about government technology policy. Another manipulated image, shared through News18, falsely portrayed PM Modi signing a girl’s T-shirt in an inappropriate location, a story designed to embarrass the prime minister. According to the fact-check, the original photograph showed him signing the shoulder area of the shirt in a perfectly appropriate manner; the viral version digitally shifted the autograph to a different area and altered his posture to create a misleading impression. These cases collectively demonstrate how misinformation targeting government institutions, international relations, and public figures can undermine trust in democratic processes, diplomatic relationships, and the integrity of public officials, with potentially long-lasting consequences for governance and international standing.

RSS-Related Narratives and the Growing Threat of Visual Disinformation

The final cluster identified in the report involved RSS-related narratives, with two cases concerning RSS chief Mohan Bhagwat that demonstrated how even ideological figures at the heart of India’s political landscape can become vehicles for fabricated content. One digitally altered graphic falsely attributed a controversial statement concerning homosexuality and Brahmins to Bhagwat, a claim with the potential to inflame social tensions and misrepresent the RSS’s actual positions. The report says the authentic graphic carried a different ideological message and contained no such reference, yet the fabricated version apparently circulated widely before being debunked. Another AI-generated graphic claimed that Bhagwat had described the slogan “Jai Bhim” as political and divisive, a claim with the potential to exacerbate caste tensions. The report found no credible evidence in any speech, interview, or public statement to support that attribution, yet the fake graphic apparently gained significant traction. Together, these cases illustrate how familiar photographs and recognizable political or ideological figures can be used as vehicles for fabricated quotations, leveraging public recognition and trust in these figures to lend credibility to entirely invented statements.

Perhaps the most significant finding of the report is that visual manipulation has become absolutely central to the misinformation ecosystem, representing a fundamental shift in how false narratives are constructed and disseminated. Edited graphics and images accounted for 41.38% of the documented content format, videos for 27.59%, and AI-generated or AI-manipulated media for 17.24%, meaning that the overwhelming majority of misinformation now relies on visual manipulation rather than simple text-based falsehoods. The report estimates that 72.41% of all 29 incidents involved manipulated visual content, combining AI-generated or manipulated material, edited graphics, recycled videos, and other forms of visual alteration — a staggering figure that underscores the challenges facing fact-checkers and social media platforms in detecting and removing fake content. The report also identifies social media influencers as the dominant source category, a finding that raises questions about the ethical responsibilities of content creators who command large audiences, and notes that Only Fact accounted for the verification of 19 incidents, followed by PIB Fact Check with five and DFRAC Officials with two, highlighting the relatively small number of organizations working to combat the flood of misinformation. The report’s overall conclusion is that July’s misinformation landscape was increasingly visual, politically charged, and enabled by digital manipulation, with the 29 documented cases suggesting that the challenge is no longer limited to fabricated text but has evolved into a sophisticated ecosystem of altered news graphics, recycled footage, AI-generated videos, synthetic images, and invented quotations being used to manufacture apparently credible narratives around some of the most sensitive political and social issues in the country.