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Thanks to Google's latest faux pas using Reddit posts to feed their AI recommendations, it's a good week to consider how our lives are being shaped by this technology - and at what point we push back 💻 Working in marketing and with a reliance on my phone that is probably beyond the norm, it's hard to not simply get swept up into algorithmic thinking. After all, it's what we're told we should be creating content for; it's what delivers me my next song on Spotify; and it's what chooses the content I see when I search for anything from 'how to do xx on webflow' (a common occurrence) to when I'm looking for my next book. But it's also what started showing me masses of wedding and parenting content the day I hit 30, despite not engaging with any of it. What started to show me weight loss recommendations shortly after I posted about my engagement. And what started telling people to add glue to pizza sauce. It's easy to see how people's lives can be readily - and drastically - influenced by the algorithms imposed by tech companies. So now the question is, what can we do about it? (Article and inspiration from Ted Gioia.) #socialmedia #marketing #algorithm #ai

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Google's AI summaries are awesome! They give you a quick summary of the key facts right at the top of search results so you don't have to waste time clicking through links or navigating websites. But here's the thing - while this is great for readers, it might suck for content creators like bloggers, news sites, and recipe developers. If Google answer boxes provide all the information upfront, will people still click through to the full articles? Probably not very often. This means creators lose out on potential ad revenue, traffic to their sites, and visibility of their brands. While AI summaries provide a big short-term gain for readers, they could be very damaging in the long run. This is called Ripple Effect. Let me know if you want to how this effect impact google in Long run and it give advantage to competitors like Bing, Brave, Duck Duck. #google #contentwriting #contentcreators #writingcommunity Google

I see the fight over Perplexity as a battle of the metaphorical Large Adult Sons. On one side, legacy publishers want to squeeze out every last inch of screen space to run programmatic banner ads that literally no one likes; all while wildly underpaying their authors; creating pay-to-play expert committees for business leaders to "contribute" to articles; promoting and advertising bloated businesses that add more software interfaces (and nothing else) to the digitally transformed world. On the other side, tech bros have overpaid yet again for an easy way out, a summarization tool that chews up everyone else's hard-earned content and spits out the bones on the side of the road, with a few references. Perplexity is worse than Wikipedia in some minds, because it shows a blatant disregard for existing intellectual property laws. Per a recent lawsuit, AI startup doesn't respect the intellectual property of Forbes ... but Perplexity and I have that in common. Forbes is among the worst offenders in the world of overhyped garbage UX digital content farms. After evaluating how Perplexity.ai was reading and interpreting The Content Technologist and driving a couple of qualified-ish visits, I'm viewing tools like Perplexity as a solid go-to for content discovery tool for audiences who want more than a quick answer but don't want to read a whole book about a topic... or they want to learn who the leading voices around a topic are before making a decision on whose expertise to follow. Dare I say, viewed as a gateway to meeting a researcher's need, Perplexity's articles might be more valuable than a SERP. Maybe. I understand the attraction, and though it is overvalued and overhyped, it's not the worst. Dare I say I almost liked it. I also published a newsletter nearly five years ago with the subject line, "What will Quibi's innovation be?" so I can't predict the future better than any of the rest of you. (It turns out Quibi's best innovation was the rapid pace at which it set fire to legacy entertainment industry money.) #contentstrategy #seo #contentdiscovery #ai #perplexity #SERPs

A number 1 ranking on Google is no longer worth what it once was. Shopping links, AI, and sponsored results can push the top rankings below the fold for high-value keywords. This is all the more reason to identify long-tail keywords and produce quality long-form content around them so Google can recognize you as an authority on the subject. Riches are in the niches, find them and win. 😁

Google's latest core update arrived yesterday and I'm here for it! 👍 As much as I am ALL in on AI, I'm more "in" on improved user experience! From a self-serving position. Google's latest update aligns with our values and "The Beacon Way" Quality over quantity and using the EEAT principles. For those who haven't seen it yet, Google’s latest core update includes a significant update to its helpful content system. We anticipate potential impacts on content rankings and results, depending on how you create content. What does that mean for content writers, marketers, and business owners? Google has provided a 2-month window to ensure you are creating human content that is trustworthy, authoritative, and truly helpful for your audience. The E-E-A-T guidelines (experience, expertise, authoritativeness, and trustworthiness) are more important than ever before. ( See link in comments to explain further) Main Takeaways- 1. In Google’s own words, “avoid creating search engine-first content.” Create a customized and personalized content plan that includes your own data and relevant information to share. 2. Make sure to include bylines and utilize writers that are knowledgeable about the content. 3. Write to your target audience, not to Google. 4. Utilize caution with the overuse of AI-generated content or AI tools. Now is the time to act. There's a strong window of opportunity right now, amidst the disruption to move your company forward ahead of your competition.

Rumor has it that Google's algorithms for identifying low-quality AI-generated content are improving. Again. 😉 According to an article from Search Engine Land, Google’s attitude toward AI-created content has evolved from "it's spam and breaks our guidelines" to "our focus is on the quality of content rather than on how it is produced." After an interesting experiment where a new website was launched with 10,000 pages of pure AI content, the general conclusion on websites with AI-generated content is: ➡️ Google indexes these sites. ➡️ Traffic on them rises quickly and to great heights. ➡️ When traffic peaks, a rapid decline occurs. So, Google's long-term plan towards AI spamming is to drastically reduce the time it takes to identify and de-rank spam content. 🤔 #optiweb #googleranking #aigeneratedcontent

In order for society to tackle the ethical and social challenges of AI and automation, the humanities, social sciences and technical disciplines need to work together - but when we don't even have shared vocabularies, that can be really hard. Addressing that challenge of cross-disciplinary translation is one of the big jobs we set ourselves in the ARC Centre of Excellence for Automated Decision-Making and Society. I'm very pleased to share this massively multi-authored article (MMAA), which unpacks the concept of 'diversity' in the recommender systems used by popular digital media platforms to curate our culture (think TikTok, YouTube, Spotify, and Netflix). In this article, we argue that it is precisely because of the many competing definitions of diversity, and the fact that it is already a core problem in recommender system design, that it is fertile ground for bringing cultural and technical approaches together. While it's only a short piece, we think that by following through on these kinds of ideas in future collaborative research we could help deliver better media environments and better policies to guide them. It's out now in open access at International Journal of Cultural Studies. Part of a special issue on Global Platforms and Cultural Production edited by Brooke Erin Duffy, Thomas Poell and others, the piece was co-authored with Louisa Bartolo, Joanne (Jo) Gray, Jonathon Hutchinson, Bondy Kaye, Ariadna Matamoros Fernandez, Kylie Pappalardo & Patrik Wikström. Abstract: 'Diversity’ is a heavily freighted and multivalent keyword in the global digital media environment. The recommender systems used by platforms are particularly acute sites of development and debate around the political, cultural and technical issues ‘diversity’ signifies. Drawing on a review of computer science publications on recommender systems in media and entertainment as well as a survey of recent advances in media and cultural policy scholarship, this short article performs a pragmatic close reading of diversity in these intersecting fields. We note that attention must be paid to the specific challenges and politics of diversity not only in particular cultural fields but also in local cultural contexts, drawing on examples from music and SVOD platforms to flesh out these questions and the practical possibilities that arise from them.

Was great to sit down with Perplexity Chief Business Officer Dmitry Shevelenko to talk about product, competition, and advertising strategy. Key takeaways: 1️⃣ Perplexity is best used for those really hard questions. You will get to the bottom of it much quicker than using a traditional blue links search from Google or others. Navigational queries representing about 10-20% of the market are outside Perplexity's focus for now. 2️⃣ Perplexity generates revenue by selling feature-enhanced Pro and Enterprise versions, and in the next two quarters it will start to monetize free users via ads. The ads aim to be as least invasive as possible, effectively being sponsored questions in the "Related" questions box at the bottom of every answer. 3️⃣ Regarding competition, Perplexity says it has a first-mover advantage, a multi-LLM approach, and Google users' expectations are anchored in blue links rather than answers.