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Could the cure to #toxic social media be a healthy and ongoing dose of #context? In a series of Threads posts this afternoon, Instagram head Adam Mosseri says users shouldn’t trust images they see online because AI is “clearly producing” content that’s easily mistaken for reality. Because of that, he says users should consider the source, and social #platforms should help with that. “Our role as internet platforms is to label content generated as AI as best we can,” Mosseri writes, but he admits “some content” will be missed by those labels. Because of that, platforms “must also provide context about who is sharing” so users can decide how much to trust their content. Just as it’s good to remember that chatbots will confidently lie to you before you trust an AI-powered search engine, checking whether posted claims or images come from a reputable account can help you consider their veracity. At the moment, Meta’s platforms don’t offer much of the sort of context Mosseri posted about today, although the company recently hinted at big coming changes to its content rules. What Mosseri describes sounds closer to user-led moderation like Community Notes on X and YouTube or Bluesky Social’s custom moderation filters. Whether Meta plans to introduce anything like those isn’t known, but then again, it has been known to take pages from Bluesky’s book. Therefore absolutely, context is the key to healthy social media. Without it, even the best-intentioned posts can be misunderstood, misused, or worse, weaponized. Social media is a powerful amplifier, but without the guardrails of context, the signal can quickly turn into noise—or even harm. Think about it: social platforms compress complex thoughts, emotions, and ideas into short bursts of text, images, or videos. While this brevity is a strength for immediacy, it can strip away nuance. A joke without context becomes offensive. A criticism without context becomes an attack. A celebration without context can feel tone-deaf. And in a world driven by algorithms prioritizing engagement, the most polarizing, decontextualized content often rises to the top.

Instagram blames some moderation issues on human reviewers, not AI The head of Instagram, Adam Mosseri, recently spoke about issues that caused Instagram and Threads users to lose access to their accounts and posts. Mosseri acknowledged that these problems were the result of errors made by human moderators, not malfunctioning AI systems as many initially thought. In this tech day and age, this issue highlights the continued importance and impact of human involvement in social media management. It's crucial to remember that amidst rapidly advancing technology, human judgment still plays a vital role. The situation deserves attention as it underscores the need for ongoing improvements to social media management systems. https://lnkd.in/gTSpgQMG

🛡️ Meta's Video Seal: a new shield against deepfakes? Discover its potential on social media. 📊 Deepfakes reached 85,000 in 2023, doubling in just a year. 🔗 Video Seal’s watermark boosts content authenticity, easing pressure on fact-checkers. 💡 Balancing AI innovation with responsibility is key to digital content integrity. Read more here: https://buff.ly/49DhoTL #Deepfakes #AIAuthority #ContentSecurity #DigitalTrust

How do you spot a deepfake? With AI tech advancing fast, one of PR’s biggest challenges is figuring out what’s real and what might be AI-generated. A recent video of Donald Trump discussing “gender insanity” has gone viral, and while I’m pretty sure it’s a deepfake, nothing’s been confirmed yet. I break down how I’d evaluate this video for a client, looking at clues like video quality, context, and public reactions. With deepfakes getting more convincing, it’s more important than ever to stay vigilant and think critically before reacting. https://lnkd.in/egnwzfCr #CrisisPR #Deepfakes #AI #PublicRelations #ReputationManagement #DigitalTrust

Embracing Transparency in AI-Generated Content! Instagram's recent decision to mandate labeling for AI-generated content marks a significant stride towards transparency in our digital landscape. As professionals in the tech industry, it's crucial to reflect on the implications of this move. While Instagram is well within its rights as a platform to implement such measures, it prompts a deeper conversation about the responsibility of platforms in moderating content authenticity. This decision raises questions about the balance between user freedom and platform regulation. For years, filters and digital alterations have been ubiquitous on social media platforms, often without any indication of their AI origins. Yet, this new requirement signals a shift towards greater transparency and accountability. I'd love to hear your thoughts on this! What do you think about Instagram's move? How might it impact content creation and consumption on the platform? Share your insights in the comments below and let's engage in a meaningful dialogue on this evolving topic! 👇 #AI #Transparency #DigitalEthics #TechTrends

Moderation is a cautionary tale about the pitfalls of both machine & human oversight. Instagram head Adam Mosseri revealed that recent account locks & disruptions were due to human moderators not AI. Your #fastfive takeaways: [1] AI + Human = scale - AI research & summaries provide deep context for humans to make nuanced decisions. [2] Moderators should be working to validate & gut check AI moderation recommendations - scaling the human touch by pairing it with machines. [3] Moderation errors are inevitable. Graceful mea culpas like Adam Mosseri's build trust. [4] Trust is key to brand credibility & customer retention. [5] AI moderation has risks, but so does human moderation. #moderation #ai #instagram #scale

Will AI *actually* replace us? I've been asking myself that question ever since ChatGPT was released. Shriya Bhattacharya and I set out to understand how the creator economy feels about this question one year after ChatGPT came into the mainstream. We talked to creators and people in the industry to understand how their thoughts on the tech have evolved, whether excitement has waned, and if they think it's a real threat. tldr; it's complicated. Issues with crediting, bias, and inaccuracy are pushing some creators to step away from AI. More on Business Insider. #ai #creators #influencers #chatgpt https://lnkd.in/eC_VVknP 

How can you tell if the comment someone posted is AI generated? It follows proper grammar, summarizes your post, makes a comment about what you said, and finally fails to have an opinion. This is done mostly on influencer accounts since people are setting up which people to do it to, so if you see it on your profile be flattered.... then block them ;) Real people: - comment with improper grammar usually - often misinterpret, or project their own experience onto what you said - are unlikely to comment unless they are sharing a strongly held opinion

Interesting 🧐 TikTok already uses a mix of human and automated content moderation. TikTok is laying off hundreds of human moderators, shifting to AI-powered content moderation. AI isn’t just helping—it’s replacing roles, raising big questions about the future of work. #AI #FutureOfWork #Automation #Productivity

Why are AI conspiracies flooding social media? 😯 Several conspiracy theories related to the royal family, well-known politicians and A-list celebrities have gone viral in the last few weeks, trending on Twitter and X. The problem? In most of these cases, the "proof" of the theory was generated by AI 🚨 The perpetrators are doing this to boost the engagements on their posts to get paid by the platforms, many of which now reward creators financially based on views and comments 🗣 “AI-generated conspiracy theory content to make money is the perfect distillation of the moment [where] we are in the internet ecosystem right now,” says Dr Jen Golbeck Read more on FT ⤵ --- 💪 Looking to grow your AI team? Get in touch: https://lnkd.in/eAeviCgZ     #artificialintelligence #ai #aijobs #data #harnham