#FactCheck: Video of Devotees Breaking Barricades During Ganesh Immersion Is From Hyderabad, Not Karnataka

Introduction

Bumble’s launch of its ‘Opening Move’ feature has sparked a new narrative on safety and privacy within the digital dating sphere and has garnered mixed reactions from users. It was launched against the backdrop of women stating that the ‘message first’ policy of Bumble was proving to be tedious. Addressing the large-scale review, Bumble launched its ‘Opening Move’ feature, whereby users can either craft or select from pre-set questions which potential matches may choose to answer to start the conversation at first glance. These questions are a segue into meaningful and insightful conversation from the get-go and overstep the traditional effort to start engaging chats between matched users. This feature is an optional feature that users may enable and as such does not prevent a user from exercising the autonomy previously in place.

Innovative Approach to Conversation Starters

Many users consider this feature as innovative; not only does it act as a catalyst for fluid conversation but also cultivates insightful dialogue, fostering meaningful interactions that are devoid of the constraint of superficial small talk. The ‘Opening Moves’ feature may also be aligned with unique scientific research indicating that individuals form their initial attractions within 3-seconds of intimate interaction, thereby proving to be a catalyst to the decision-making process of an individual in the attraction time frame. 

Organizational Benefits and Data Insights

From an organisational standpoint, the feature is a unique solution towards localisation challenges faced by apps; the option of writing a personalised ‘Opening Move’ implies setting prompts that are culturally relevant and appropriate in a specific area. Moreover, it is anticipated that Bumble may enhance and improve user experience within the platform through data analysis. Data from responses to an ‘Opening Move’ may provide valuable insights into user preferences and patterns by analysing which pre-set prompts garner more responses over others and how often is a user-written ‘Opening Move’ successful in obtaining a response in comparison with Bumble’s pre-set prompts. A quick glance at Bumble’s privacy policy[1] shows that data storing and transferring of chats between users are not shared with third parties, further safeguarding personal privacy. However,  Bumble does use the chat data for its own internal purposes after removing personally identifiable information from chats. The manner of such review and removal of data has not been specified, which may raise challenges depending upon whether the reviewer is a human or an algorithm.

However, some users perceive the feature as counterproductive to the company’s principle of ‘women make the first move’. While Bumble aims to market the feature as a neutral ground for matched users based on the exercise of choice, users see it as a step back into the heteronormative gender expectations that most dating apps conform to, putting the onus of the ‘first move’ on men. Many male users have complained that the feature acts as a catalyst for men to opt out of the dating app and would most likely refrain from interacting with profiles enabled with the ‘Opening Move’ feature, since the pressure to answer in a creative manner is disproportionate with the likelihood their response actually being entertained.[2] Coupled with the female users terming the original protocol as ‘too much effort’, the preset questions of the ‘Opening Move’ feature may actively invite users to categorise potential matches according to arbitrary questions that undermine real-life experiences, perspectives and backgrounds of each individual.[3]

Additionally, complications are likely to arise when a notorious user sets a question that indirectly gleans personal or sensitive, identifiable information. The individual responding may be bullied or be subjected to hateful slurs when they respond to such carefully crafted conversation prompts.

Safety and Privacy Concerns

On the corollary, the appearance of choice may translate into more challenges for women on the platform. The feature may spark an increase in the number of unsolicited, undesirable messages and images from a potential match. The most vulnerable groups at present remain individuals who identify as females and other sexual minorities.[4] At present, there appears to be no mechanism in place to proactively monitor the content of responses, relying instead on user reporting. This approach may prove to be impractical given the potential volume of objectionable messages, necessitating a more efficient solution to address this issue. It is to be noted that in spite of a user reporting, the current redressal systems of online platforms remain lax, largely inadequate and demonstrate ineffectiveness in addressing user concerns or grievances. This lack of proactiveness is violative of the right to redressal provided under the Digital Personal Data Protection Act, 2023. It is thought that the feature may actually take away user autonomy that Bumble originally aimed to grant since Individuals who identify as introverted, shy, soft-spoken, or non-assertive may refrain from reporting harassing messages altogether, potentially due to discomfort or reluctance to engage in confrontation. Resultantly, it is anticipated that there would be a sharp uptake in cases pertaining to cyberbullying, harassment and hate speech (especially vulgar communications) towards both the user and the potential match. 

From an Indian legal perspective, dating apps have to adhere to the Information Technology Act, 2000 [5], the Information Technology (Intermediary and Digital Media Ethics) Rules 2021 [6] and the Digital Personal Data Protection Act, 2023, that regulates a person’s digital privacy and set standards on the kind of content an intermediary may host. An obligation is cast upon an intermediary to uprise its users on what content is not allowed on its platform in addition to mandating intimation of the user’s digital rights. The lack of automated checks, as mentioned above, is likely to make Bumble non-compliant with the ethical guidelines. 

The optional nature of the ‘Opening Move’ grants users some autonomy. However, some technical updates may enhance the user experience of this feature. Technologies like AI are an effective aid in behavioural and predictive analysis. An upgraded ‘matching’ algorithm can analyse the number of un-matches a profile receives, thereby identifying and flagging a profile having multiple lapsed matches. Additionally, the design interface of the application bearing a filter option to filter out flagged profiles would enable a user to be cautious while navigating through the matches. Another possible method of weeding out notorious profiles is by deploying a peer-review system of profiles whereby a user has a singular check-box that enables them to flag a profile. Such a checkbox would ideally be devoid of any option for writing personal comments and would bear a check box stating whether the profile is most or least likely to bully/harass. This would ensure that a binary, precise response is recorded and any coloured remarks are avoided. [7]

Governance and Monitoring Mechanisms

From a governance point of view, a monitoring mechanism on the manner of crafting questions is critical. Systems should be designed to detect certain words/sentences and a specific manner of framing sentences to disallow questions contrary to the national legal framework. An onscreen notification having instructions on generally acceptable manner of conversations as a reminder to users to maintain cyber hygiene while conversing is also proposed as a mandated requirement for platforms. The notification/notice may also include guidelines on what information is safe to share in order to safeguard user privacy. Lastly, a revised privacy policy should establish the legal basis for processing responses to ‘Opening Moves’, thereby bringing it in compliance with national legislations such as the Digital Personal Data Protection Act, 2023.

Conclusion

Bumble's 'Opening Move' feature marks the company’s ‘statement’ step to address user concerns regarding initiating conversations on the platform. While it has been praised for fostering more meaningful interactions, it also raises not only ethical concerns but also concerns over user safety. While the 'Opening Move' feature can potentially enhance user experience, its success is largely dependent on Bumble's ability to effectively navigate the complex issues associated with this feature. A more robust monitoring mechanism that utilises newer technology is critical to address user concerns and to ensure compliance with national laws on data privacy.

Endnotes:

• [1] Bumble’s privacy policy https://bumble.com/en-us/privacy  
• [2] Discussion thread, r/bumble, Reddit https://www.reddit.com/r/Bumble/comments/1cgrs0d/women_on_bumble_no_longer_have_to_make_the_first/?share_id=idm6DK7e0lgkD7ZQ2TiTq&utm_content=2&utm_medium=ios_app&utm_name=ioscss&utm_source=share&utm_term=1&rdt=65068 
• [3] Mcrea-Hedley, Olivia, “Love on the Apps: When did Dating Become so Political?”, 8 February 2024 https://www.service95.com/the-politics-of-dating-apps/ 
• [4] Gewirtz-Meydan, A., Volman-Pampanel, D., Opuda, E., & Tarshish, N. (2024). ‘Dating Apps: A New Emerging Platform for Sexual Harassment? A Scoping Review. Trauma, Violence, & Abuse, 25(1), 752-763. https://doi.org/10.1177/15248380231162969 
• [5]  Information Technology Act, 2000 https://www.indiacode.nic.in/bitstream/123456789/13116/1/it_act_2000_updated.pdf 
• [6]  Information Technology (Intermediary Guidelines and Digital Media Ethics) Rules 2021 https://www.meity.gov.in/writereaddata/files/Information%20Technology%20%28Intermediary%20Guidelines%20and%20Digital%20Media%20Ethics%20Code%29%20Rules%2C%202021%20%28updated%2006.04.2023%29-.pdf 
• [7]  Date Confidently: Engaging Features in a Dating App (Use Cases), Consaguous, 10 July 2023 https://www.consagous.co/blog/date-confidently-engaging-features-in-a-dating-app-use-cases  

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Introduction

In the digital realm of social media, Meta Platforms, the driving force behind Facebook and Instagram, faces intense scrutiny following The Wall Street Journal's investigative report. This exploration delves deeper into critical issues surrounding child safety on these widespread platforms, unravelling algorithmic intricacies, enforcement dilemmas, and the ethical maze surrounding monetisation features. Instances of "parent-managed minor accounts" leveraging Meta's subscription tools to monetise content featuring young individuals have raised eyebrows. While skirting the line of legality, this practice prompts concerns due to its potential appeal to adults and the associated inappropriate interactions. It's a nuanced issue demanding nuanced solutions.

Failed Algorithms 

The very heartbeat of Meta's digital ecosystem, its algorithms, has come under intense scrutiny. These algorithms, designed to curate and deliver content, were found to actively promoting accounts featuring explicit content to users with known pedophilic interests. The revelation sparks a crucial conversation about the ethical responsibilities tied to the algorithms shaping our digital experiences. Striking the right balance between personalised content delivery and safeguarding users is a delicate task.

While algorithms play a pivotal role in tailoring content to users' preferences, Meta needs to reevaluate the algorithms to ensure they don't inadvertently promote inappropriate content. Stricter checks and balances within the algorithmic framework can help prevent the inadvertent amplification of content that may exploit or endanger minors.

Major Enforcement Challenges

Meta's enforcement challenges have come to light as previously banned parent-run accounts resurrect, gaining official verification and accumulating large followings. The struggle to remove associated backup profiles adds layers to concerns about the effectiveness of Meta's enforcement mechanisms. It underscores the need for a robust system capable of swift and thorough actions against policy violators.

To enhance enforcement mechanisms, Meta should invest in advanced content detection tools and employ a dedicated team for consistent monitoring. This proactive approach can mitigate the risks associated with inappropriate content and reinforce a safer online environment for all users.

The financial dynamics of Meta's ecosystem expose concerns about the exploitation of videos that are eligible for cash gifts from followers. The decision to expand the subscription feature before implementing adequate safety measures poses ethical questions. Prioritising financial gains over user safety risks tarnishing the platform's reputation and trustworthiness. A re-evaluation of this strategy is crucial for maintaining a healthy and secure online environment.

To address safety concerns tied to monetisation features, Meta should consider implementing stricter eligibility criteria for content creators. Verifying the legitimacy and appropriateness of content before allowing it to be monetised can act as a preventive measure against the exploitation of the system.

Meta's Response 

In the aftermath of the revelations, Meta's spokesperson, Andy Stone, took centre stage to defend the company's actions. Stone emphasised ongoing efforts to enhance safety measures, asserting Meta's commitment to rectifying the situation. However, critics argue that Meta's response lacks the decisive actions required to align with industry standards observed on other platforms. The debate continues over the delicate balance between user safety and the pursuit of financial gain. A more transparent and accountable approach to addressing these concerns is imperative.

To rebuild trust and credibility, Meta needs to implement concrete and visible changes. This includes transparent communication about the steps taken to address the identified issues, continuous updates on progress, and a commitment to a user-centric approach that prioritises safety over financial interests.

The formation of a task force in June 2023 was a commendable step to tackle child sexualisation on the platform. However, the effectiveness of these efforts remains limited. Persistent challenges in detecting and preventing potential child safety hazards underscore the need for continuous improvement. Legislative scrutiny adds an extra layer of pressure, emphasising the urgency for Meta to enhance its strategies for user protection.

To overcome ongoing challenges, Meta should collaborate with external child safety organisations, experts, and regulators. Open dialogues and partnerships can provide valuable insights and recommendations, fostering a collaborative approach to creating a safer online environment.

Drawing a parallel with competitors such as Patreon and OnlyFans reveals stark differences in child safety practices. While Meta grapples with its challenges, these platforms maintain stringent policies against certain content involving minors. This comparison underscores the need for universal industry standards to safeguard minors effectively. Collaborative efforts within the industry to establish and adhere to such standards can contribute to a safer digital environment for all.

To align with industry standards, Meta should actively participate in cross-industry collaborations and adopt best practices from platforms with successful child safety measures. This collaborative approach ensures a unified effort to protect users across various digital platforms.

Conclusion

Navigating the intricate landscape of child safety concerns on Meta Platforms demands a nuanced and comprehensive approach. The identified algorithmic failures, enforcement challenges, and controversies surrounding monetisation features underscore the urgency for Meta to reassess and fortify its commitment to being a responsible digital space. As the platform faces this critical examination, it has an opportunity to not only rectify the existing issues but to set a precedent for ethical and secure social media engagement.

This comprehensive exploration aims not only to shed light on the existing issues but also to provide a roadmap for Meta Platforms to evolve into a safer and more responsible digital space. The responsibility lies not just in acknowledging shortcomings but in actively working towards solutions that prioritise the well-being of its users.

References

• https://timesofindia.indiatimes.com/gadgets-news/instagram-facebook-prioritised-money-over-child-safety-claims-report/articleshow/107952778.cms
• https://www.adweek.com/blognetwork/meta-staff-found-instagram-tool-enabled-child-exploitation-the-company-pressed-ahead-anyway/107604/
• https://www.tbsnews.net/tech/meta-staff-found-instagram-subscription-tool-facilitated-child-exploitation-yet-company

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Introduction

AI has transformed the way we look at advanced technologies. As the use of AI is evolving, it also raises a concern about AI-based deepfake scams. Where scammers use AI technologies to create deep fake videos, images and audio to deceive people and commit AI-based crimes. Recently a Kerala man fall victim to such a scam. He received a WhatsApp video call, the scammer impersonated the face of the victim’s known friend using AI-based deep fake technology. There is a need for awareness and vigilance to safeguard ourselves from such incidents.

Unveiling the Kerala deep fake video call Scam

The man in Kerala received a WhatsApp video call from a person claiming to be his former colleague in Andhra Pradesh. In actuality, he was the scammer. He asked for help of 40,000 rupees from the Kerala man via google pay. Scammer to gain the trust even mentioned some common friends with the victim. The scammer said that he is at the Dubai airport and urgently need the money for the medical emergency of his sister.

As AI is capable of analysing and processing data such as facial images, videos, and audio creating a realistic deep fake of the same which closely resembles as real one. In the Kerala Deepfake video call scam the scammer made a video call that featured a convincingly similar facial appearance and voice as same to the victim’s colleague which the scammer was impersonating. The Kerala man believing that he was genuinely communicating with his colleague, transferred the money without hesitation. The Kerala man then called his former colleague on the number he had saved earlier in his contact list, and his former colleague said that he has not called him.  Kerala man realised that he had been cheated by a scammer, who has used AI-based deep-fake technology to impersonate his former colleague.

Recognising Deepfake Red Flags

Deepfake-based scams are on the rise, as they pose challenges that really make it difficult to distinguish between genuine and fabricated audio, videos and images. Deepfake technology is capable of creating entirely fictional photos and videos from scratch. In fact, audio can be deepfaked too, to create “voice clones” of anyone.

However, there are some red flags which can indicate the authenticity of the content:

• Video quality- Deepfake videos often have compromised or poor video quality, and unusual blur resolution, which might pose a question to its genuineness.
• Looping videos: Deepfake videos often loop or unusually freeze or where the footage repeats itself, indicating that the video content might be fabricated.
• Verify Separately: Whenever you receive requests for such as financial help, verify the situation by directly contacting the person through a separate channel such as a phone call on his primary contact number.
• Be vigilant: Scammers often possess a sense of urgency leading to giving no time to the victim to think upon it and deceiving them by making a quick decision. So be vigilant and cautious when receiving and entertaining such a sudden emergency which demands financial support from you on an urgent basis.
• Report suspicious activity: If you encounter such activities on your social media accounts or through such calls report it to the platform or to the relevant authority.

Conclusion

The advanced nature of AI deepfake technology has introduced challenges in combatting such AI-based cyber crimes. The Kerala man’s case of falling victim to an AI-based deepfake video call and losing Rs 40,000 serves as an alarming need to remain extra vigilant and cautious in the digital age. So in the reported incident where Kerala man received a call from a person appearing as his former colleague but in actuality, he was a scammer and tricking the victim by using AI-based deepfake technology. By being aware of such types of rising scams and following precautionary measures we can protect ourselves from falling victim to such AI-based cyber crimes. And stay protected from such malicious scammers who exploit these technologies for their financial gain. Stay cautious and safe in the ever-evolving digital landscape.