#FactCheck - "Viral Video Misleadingly Claims Surrender to Indian Army, Actually Shows Bangladesh Army”

Introduction

Misinformation and disinformation are significant issues in today's digital age. The challenge is not limited to any one sector or industry, and has been seen to affect everyone that deals with data of any sort. In recent times, we have seen a rise in misinformation about all manner of subjects, from product and corporate misinformation to manipulated content about regulatory or policy developments.  

Micro, Small, and Medium Enterprises (MSMEs) play an important role in economies, particularly in developing nations, by promoting employment, innovation, and growth. However, in the evolving digital landscape, they also confront tremendous hurdles, such as the dissemination of mis/disinformation which may harm reputations, disrupt businesses, and reduce consumer trust. MSMEs are particularly susceptible since they have minimal resources at their disposal and cannot afford to invest in the kind of talent, technology and training that is needed for a business to be able to protect itself in today’s digital-first ecosystem. Mis/disinformation for MSMEs can arise from internal communications, supply chain partners, social media, competitors, etc. To address these dangers, MSMEs must take proactive steps such as adopting frameworks to counter misinformation and prioritising best practices like digital literacy and training, monitoring and social listening, transparency protocols and robust communication practices.

Assessing the Impact of Misinformation on MSMEs

To assess the impact of misinformation on MSMEs, it is essential to get a full sense of the challenges. To begin with, one must consider the categories of damage which can include financial loss, reputational damage, operational damages, and regulatory noncompliance. Various assessment methodologies can be used to analyze the impact of misinformation, including surveys, interviews, case studies, social media and news data analysis, and risk analysis practices.

Policy Framework and Gaps in Addressing Misinformation

The Digital India Initiative, a flagship program of the Government of India, aims to transform India into a digitally empowered society and knowledge economy. The Information Technology Act, 2000 and the rules made therein govern the technology space and serve as the legal framework for cyber security and data protection. The Bhartiya Nyay Sanhita, 2023 also contains provisions regarding ‘fake news’. The Digital Personal Data Protection Act, 2023 is a brand new law aimed at protecting personal data. Fact-check units (FCUs) are government and private independent bodies that verify claims about government policies, regulations, announcements, and measures. However, these policy measures are not sector-specific and lack specific guidelines, which have limited impact on their awareness initiatives on misinformation and insufficient support structure for MSMEs to verify information and protect themselves.

Recommendations for Countering Misinformation in the MSME Sector

To counter misinformation for MSMEs, recommendations include creating a dedicated Misinformation Helpline, promoting awareness campaigns, creating regulatory support and guidelines, and collaborating with tech platforms and expert organisations for the identification and curbing of misinformation. 

Organisational recommendations include the Information Verification Protocols for the consumers of Information for the verification of critical information before acting upon it, engaging in employee training for regular training on the identification and management of misinformation, creating a crisis management plan to deal with misinformation crisis, form collaboration networks with other MSMEs to share verified information and best practices. 

Engage with technological solutions like AI and ML tools for the detection and flagging of potential misinformation along with fact-checking tools and engaging with cyber security measures to prevent misinformation via digital channels.

Conclusion: Developing a Vulnerability Assessment Framework for MSMEs

Creating a vulnerability assessment framework for misinformation in Micro, Small, and Medium Enterprises (MSMEs) in India involves several key components which include the understanding of the sources and types of misinformation, assessing the impact on MSMEs, identifying the current policies and gaps, and providing actionable recommendations. The implementation strategy for policies to counter misinformation in the MSME sector can be by starting with pilot programs in key MSME clusters, and stakeholder engagement by involving industry associations, tech companies and government bodies. Initiating a feedback mechanism for constant improvement of the framework and finally, developing a plan to scale successful initiatives across the country.

References

• https://publications.ut-capitole.fr/id/eprint/48849/1/wp_tse_1516.pdf 
• https://techinformed.com/how-misinformation-can-impact-businesses/ 
• https://pib.gov.in/aboutfactchecke.aspx 

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Introduction

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In the fast-paced digital age, misinformation spreads faster than actual news. This was seen recently when inaccurate information on social media was spread, stating that the Election Commission of India (ECI) had taken down e-voter rolls for some states from its website overnight. The rumour confused the public and caused political debate in states like Maharashtra, MP, Bihar, UP and Haryana, resulting in public confusion. But the ECI quickly called the viral information "fake news" and made sure that voters could still get access to the electoral rolls of all States and Union Territories, available at voters.eci.gov.in. The incident shows how electoral information could be harmed by the impact of misinformation and how important it is to verify the authenticity. 

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The Incident and Allegations

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On August 7, 2025, social media posts on platforms like X and WhatsApp claimed that the Election Commission of India had removed e-voter lists from its website. The posts appeared after public allegations about irregularities in certain constituencies. However, the claims about the removal of voter lists were unverified.

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The Election Commission’s Response

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In a formal tweet posted on X, it stated categorically:

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“This is a fake news. Anyone can download the Electoral Roll for any of 36 States/UTs through this link: https://voters.eci.gov.in/download-eroll.”

The Commission clarified that no deletion has been done at all and that all the voters' rolls are intact and accessible to the public. Keeping with the spirit of transparency, the ECI reaffirmed its overall practice of public access to electoral information by clarifying that the system is intact and accessible for inspection.

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Importance of Timely Clarifications

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By countering factually incorrect information the moment it was spread on a large scale, the ECI stopped possible harm to public trust. Election officials rely upon being trusted, and any speculation concerning their honesty can prove harmful to democracy. Such prompt action stops false information from becoming a standard in public discourse.

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Misinformation in the Electoral Space

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• How False Narratives Gain Traction
  Election misinformation increases in significant political environments. Social media, confirmation bias, and increased emotional states during elections enable rumour spread. On this occasion, the unfounded report struck a chord with widespread political distrust, and hence, people easily believed and shared it without checking if it was true or not.

• Risks to Democratic Integrity
  When misinformation impacts election procedures, the consequences can be profound:

1. Erosion of Trust: People can lose faith in the neutrality of election administrators quite easily.
2. Polarization: Untrue assertions tend to reinforce political divides, rendering constructive communication more difficult.

• The Role of Media Literacy
  Combating such mis-disinformation requires more than official statements. Media skills training courses can equip individuals with the ability to recognise warning signs in suspect messages. Even basic actions like checking official sources prior to sharing can move far in keeping untruths from being spread.

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Strategies to Counter Electoral Misinformation

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Multi-Stakeholder Action

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Effective counteracting of electoral disinformation requires coordination among election officials, fact-checkers, media, and platforms.  Actions that are suggested include:

1. Rapid Response Protocols: Institutions should maintain dedicated monitoring teams for quick rebuttals.
2. Confirmed Channels of Communication: Providing official sites and pages for actual electoral news.
3. Proactive Transparency: Regular publication of electoral process updates can anticipate rumours.
4. Platform Accountability: Social media sites must label or limit the visibility of information found to be false by credentialed fact-checkers.

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Conclusion

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The recent allegations of e-voter rolls deletion underscore the susceptibility of contemporary democracies to mis-disinformation. Even though the circumstances were brought back into order by the ECI's swift and unambiguous denunciation, the incident itself serves to emphasise the necessity of preventive steps to maintain election faith. Even though fact-checking alone might not work in an environment where the information space is growing more polarised and algorithmic, the long-term solution to such complications is to grow an ironclad democratic culture where everyone, every organisation, and platforms value the truth over clickbait. The lesson is clear: in the age of instant news, accurate communication is vital for maintaining democratic integrity, not extravagances.

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References

• https://www.newsonair.gov.in/election-commission-dismisses-fake-news-on-removal-of-e-voter-rolls/
• https://economictimes.indiatimes.com/news/india/eci-dismisses-claims-of-removing-e-voter-rolls-from-its-website-calls-it-fake-news/articleshow/123190662.cms
• https://www.thehindu.com/news/national/vote-theft-claim-of-congress-factually-incorrect-election-commission/article69921742.ece
• https://www.thehindu.com/opinion/editorial/a-crisis-of-trust-on-the-election-commission-of-india/article69893682.ece

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Introduction

The Senate bill introduced on 19 March 2024 in the United States would require online platforms to obtain consumer consent before using their data for Artificial Intelligence (AI) model training. If a company fails to obtain this consent, it would be considered a deceptive or unfair practice and result in enforcement action from the Federal Trade Commission (FTC) under the AI consumer opt-in, notification standards, and ethical norms for training (AI Consent) bill. The legislation aims to strengthen consumer protection and give Americans the power to determine how their data is used by online platforms. 

The proposed bill also seeks to create standards for disclosures, including requiring platforms to provide instructions to consumers on how they can affirm or rescind their consent. The option to grant or revoke consent should be made available at any time through an accessible and easily navigable mechanism, and the selection to withhold or reverse consent must be at least as prominent as the option to accept while taking the same number of steps or fewer as the option to accept.

The AI Consent bill directs the FTC to implement regulations to improve transparency by requiring companies to disclose when the data of individuals will be used to train AI and receive consumer opt-in to this use. 
The bill also commissions an FTC report on the technical feasibility of de-identifying data, given the rapid advancements in AI technologies, evaluating potential measures companies could take to effectively de-identify user data.

The definition of ‘Artificial Intelligence System’ under the proposed bill

ARTIFICIALINTELLIGENCE SYSTEM- The term artificial intelligence system“ means a machine-based system that—

1. Is capable of influencing the environment by producing an output, including predictions, recommendations or decisions, for a given set of objectives; and
2. 2. Uses machine or human-based data and inputs to

(i) Perceive real or virtual environments;

(ii) Abstract these perceptions into models through analysis in an automated manner (such as by using machine learning) or manually; and

(iii) Use model inference to formulate options for outcomes.

Importance of the proposed AI Consent Bill USA

1. Consumer Data Protection: The AI Consent bill primarily upholds the privacy rights of an individual. Consent is necessitated from the consumer before data is used for AI Training; the bill aims to empower individuals with unhinged autonomy over the use of personal information. The scope of the bill aligns with the greater objective of data protection laws globally, stressing the criticality of privacy rights and autonomy.

2. Prohibition Measures: The proposed bill intends to prohibit covered entities from exploiting the data of consumers for training purposes without their consent. This prohibition extends to the sale of data, transfer to third parties and usage. Such measures aim to prevent data misuse and exploitation of personal information. The bill aims to ensure companies are leveraged by consumer information for the development of AI without a transparent process of consent.

3. Transparent Consent Procedures: The bill calls for clear and conspicuous disclosures to be provided by the companies for the intended use of consumer data for AI training. The entities must provide a comprehensive explanation of data processing and its implications for consumers. The transparency fostered by the proposed bill allows consumers to make sound decisions about their data and its management, hence nurturing a sense of accountability and trust in data-driven practices.

4. Regulatory Compliance: The bill's guidelines call for strict requirements for procuring the consent of an individual. The entities must follow a prescribed mechanism for content solicitation, making the process streamlined and accessible for consumers. Moreover, the acquisition of content must be independent, i.e. without terms of service and other contractual obligations. These provisions underscore the importance of active and informed consent in data processing activities, reinforcing the principles of data protection and privacy.

5. Enforcement and Oversight: To enforce compliance with the provisions of the bill, robust mechanisms for oversight and enforcement are established. Violations of the prescribed regulations are treated as unfair or deceptive acts under its provisions. Empowering regulatory bodies like the FTC to ensure adherence to data privacy standards. By holding covered entities accountable for compliance, the bill fosters a culture of accountability and responsibility in data handling practices, thereby enhancing consumer trust and confidence in the digital ecosystem.

Importance of Data Anonymization

Data Anonymization is the process of concealing or removing personal or private information from the data set to safeguard the privacy of the individual associated with it. Anonymised data is a sort of information sanitisation in which data anonymisation techniques encrypt or delete personally identifying information from datasets to protect data privacy of the subject. This reduces the danger of unintentional exposure during information transfer across borders and allows for easier assessment and analytics after anonymisation. When personal information is compromised, the organisation suffers not just a security breach but also a breach of confidence from the client or consumer. Such assaults can result in a wide range of privacy infractions, including breach of contract, discrimination, and identity theft.

The AI consent bill asks the FTC to study data de-identification methods. Data anonymisation is critical to improving privacy protection since it reduces the danger of re-identification and unauthorised access to personal information. Regulatory bodies can increase privacy safeguards and reduce privacy risks connected with data processing operations by investigating and perhaps implementing anonymisation procedures.

The AI consent bill emphasises de-identification methods, as well as the DPDP Act 2023 in India, while not specifically talking about data de-identification, but it emphasises the data minimisation principles, which highlights the potential future focus on data anonymisation processes or techniques in India.

Conclusion

The proposed AI Consent bill in the US represents a significant step towards enhancing consumer privacy rights and data protection in the context of AI development. Through its stringent prohibitions, transparent consent procedures, regulatory compliance measures, and robust enforcement mechanisms, the bill strives to strike a balance between fostering innovation in AI technologies while safeguarding the privacy and autonomy of individuals.

References:

• https://fedscoop.com/consumer-data-consent-training-ai-models-senate-bill/#:~:text=%E2%80%9CThe%20AI%20CONSENT%20Act%20gives,Welch%20said%20in%20a%20statement
• https://www.dataguidance.com/news/usa-bill-ai-consent-act-introduced-house#:~:text=USA%3A%20Bill%20for%20the%20AI%20Consent%20Act%20introduced%20to%20House%20of%20Representatives,-ConsentPrivacy%20Law&text=On%20March%2019%2C%202024%2C%20US,the%20U.S.%20House%20of%20Representatives
• https://datenrecht.ch/en/usa-ai-consent-act-vorgeschlagen/
• https://www.lujan.senate.gov/newsroom/press-releases/lujan-welch-introduce-billto-require-online-platforms-receive-consumers-consent-before-using-their-personal-data-to-train-ai-models/

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