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TikTok Looks to Limit Harmful Impacts of Algorithm Amplification with New Tests

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This is an interesting experiment – TikTok has outlined how it’s looking to reduce the potentially harmful impacts of algorithm amplification by limiting the amount of videos in certain, sensitive categories that are highlighted in user ‘For You’ Feeds.

That could reduce polarization, and stop users feeling overwhelmed by some topics.

As explained by TikTok:

We recognize that too much of anything – whether it’s animals, fitness tips, or personal well-being journeys – doesn’t fit with the diverse discovery experience we aim to create. That’s why our recommendation system works to intersperse recommendations that might fall outside people’s expressed preferences, offering an opportunity to discover new categories of content. For example, our systems won’t recommend two videos in a row made by the same creator or with the same sound. Doing so enriches the viewing experience and can help promote exposure to a range of ideas and perspectives on our platform.”

That, in itself, helps to broaden the TikTok experience, and keep things fresh. But now, TikTok’s also looking to expand its system limits to ensure that users are not shown too much content on certain topics.

As we continue to develop new strategies to interrupt repetitive patterns, we’re looking at how our system can better vary the kinds of content that may be recommended in a sequence. That’s why we’re testing ways to avoid recommending a series of similar content – such as around extreme dieting or fitness, sadness, or breakups – to protect against viewing too much of a content category that may be fine as a single video but problematic if viewed in clusters.”

Which is actually a key concern, with algorithms, utilizing binary qualifiers, working to show you more of what you engage with, without the context of why you might be viewing or otherwise interacting with certain clips.

If you’re in a vulnerable state and you end up watching more videos related to similar concerns, that could indicate to an algorithmic system that you’re interested in more of that content – when really, routing more of that material to you, at that time, could actually cause more harm, which a machine learning system can’t understand, without additional guidance.

It’s a smart exploration by TikTok – and while it won’t necessarily be able to catch all possible instances of potential harm in this respect, if it can limit the impacts of some of the worst elements, that could be significant.

In addition to this, TikTok’s also developing a new option that would enable people to choose disqualifying words or hashtags, associated with content that they don’t want to see in their ‘For You’ feed, to reduce instances of unwanted exposure, based on personal preference.

That could be diet videos, make-up tutorials – whatever issue you find triggering, you would be able to reduce, and maybe even eliminate from your feed entirely, lessening the potential impacts of such in your experience.

Given its popularity among younger users, this is a critical element of focus for TikTok, with the platform already under significant scrutiny over the impact that its trends and content can have on young, impressionable users, in varying ways.

Giving people more capacity to control their ‘For You’ recommendations could be a big step – but even further, enhancing its automated recommendations around potentially sensitive topics could be even more valuable, as not everyone has the self-awareness to be able to moderate their own experience in this way.

Considering its rapid growth, TikTok has done fairly well in providing algorithmic protections thus far, and its addictive algorithm, and capacity to pull from a huge pool of publicly uploaded clips, really is the app’s secret sauce, and the reason for its massive success.

With that in mind, intelligent explorations like this are key to keeping users as safe from harm as possible, and TikTok, which doesn’t rely on personal connections in the same way as other social apps, has more capacity for such, which is a key element.

Socialmediatoday.com

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Novak Djokovic, Rafael Nadal and Roger Federer: Born or made great?

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The Big 3 have won a total of 56 Grand Slams in their career.

Ecogastronomy, puppet arts, viticulture and enology, influencer marketing, or bakery science. In 2022, you can become anything you want and there are even specialized undergraduate degrees to help you gain all the relevant skills at university. Essentially, you can now be academically trained in any subject and learn practically everything you need to excel at your job.

In the context of sports, and particularly tennis, this is no different. There are plenty of degrees you can pursue to complement your career as an athlete, physiotherapist, or coach with useful knowledge about the human body, anatomy, and health.

This basically means that professional tennis players of the 21st century can complement their extraordinary talent and training routine with a relevant education and an elite team of professional and eminent physiotherapists, coaches, PR, and strategists. Ultimately, players have countless tools that can help them win matches, stay healthy, and be well-liked by the press and the fans.

You can find these ‘A teams’ all around the tour nowadays: players of the former next gen have taken advantage of their early success to incorporate experts on every specialty into their team and others like Carlos Alcaraz or Holger Rune have come directly in the tour alongside first-class teams headed by former World No. 1 and Slam champion Juan Carlos Ferrero and respected coach Patrick Mouratoglou respectively.

Understandably, tennis legends who have been on tour for almost two decades have progressively adapted to the quest for perfection too. You must remember Novak Djokovic’s radical diet change mid-career or Rafael Nadal’s loyal sports doctor for most of his injury-prone career.

21st-century professional tennis players have learned it all as far as tennis skills are concerned. In fact, objectively any top-100 player can produce Djokovesque cross-court backhands or Nadalese down-the-line forehands any time – we have seen rallies of the highest level in practices, Challengers and junior tournaments.

So, one must think that if every player on the tour can produce top-level tennis and is surrounded by the perfect team, what is stopping them from winning 20+ Grand Slam titles like Nadal, Roger Federer, and Djokovic?


Nadal, Federer and Djokovic — the Big 3

Roger Federer, Rafael Nadal and Novak Djokovic in discussion at the 2022 Laver Cup.
Roger Federer, Rafael Nadal and Novak Djokovic in discussion at the 2022 Laver Cup.

The Big 3 — Rafael Nadal, Roger Federer and Novak Djokovic — are living proof that in life there are things you just can’t learn, despite our self-help books saying otherwise. Tennis is different from other mainstream sports in that it remains an individual and extremely mental sport.

These three players belong at a higher level than anyone else, and it is not only the 63 combined Slam titles that separate them from their opponents. It is clearly not their physical form either, quite the opposite currently. It is the ability to remain serene, focused, confident, and indifferent to the crowd, pressure, and expectations, to play one point at a time, whether it is a break or a championship point, and to extract it from the surrounding context.

Being the best of all time does, however, not imply being the better player in all matches. We don’t have to go far back to find an example of a time when Nadal and Djokovic were the clear underdogs in a match. For instance, in Wimbledon 2022 we saw Nadal win a match with an abdominal tear and an average 80-mph serve speed (on a grasscourt!) against Taylor Fritz, a top American player in his best-ever season.

In essence, the three GOATs have had the ability to know how to win even when they are the worst players on the court, and if that greatness is something we all could learn or train for, it would stop being called so and we would see it more often.

Whether it is the experience, intelligence or just intrinsic and unique talent that has led to Big 3’s unprecedented achievements we won’t ever exactly know and, I am afraid, they are giving no opportunity to the so-called Next Gen to even dream of replicating their record book and help us make sense of what it takes to become a tennis master.

In any case, we can only feel extremely fortunate to have lived on the same timeline as the greatest trivalry in sports history. All of us, but the Next Gen, can only hope Nadal and Djokovic do not follow Federer’s retirement path anytime soon. And one only needs to watch their last matches against each other to (rightfully) assume that might not happen anytime soon.

What is the foot injury that has troubled Rafael Nadal over the years? Check here

Poll : Who will end up with most Grand Slam titles?

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Meta Could be Exploring Paid Blue Checkmarks on Facebook and Instagram

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Meta Could be Exploring Paid Blue Checkmarks on Facebook and Instagram

It seems like Elon Musk’s chaotic management approach at Twitter is having some broader impacts, with more companies reportedly considering lay-offs in the wake of Musk culling 70% of Twitter staff (and keeping the app running), and Meta now apparently also considering charging for blue checkmarks in its apps.

Yes, the Twitter Blue approach to making people pay for verification, which hasn’t proven overly popular on Twitter itself, is now also seemingly in consideration at Meta as well.

According to a new finding by reverse engineering pro Alessandro Paluzzi, there’s a new mention in the codebase of both Facebook and Instagram of a ‘paid blue badge’.

Paluzzi also shared a screenshot of the code with TechCrunch:

That does appear to refer to a subscription service for both apps, which could well give you a blue verification badge as a result.

Mets has neither confirmed nor denied the project, but it does seem, at least on the surface, that it’s considering offering checkmarks as another paid option – which still seems strange, considering the original purpose of verification, which is to signify noteworthy people or profiles in the app.

If people can just buy that, then it’s no longer of any value, right?

Evidently, that’s not the case, and with Twitter already bringing in around $7 million per quarter from Twitter Blue subscriptions, maybe Meta’s looking for a means to supplement its own intake, and make up for lost ad dollars and/or rising costs of its metaverse development.

It seems counter-intuitive, but I guess, if people will pay, and the platforms aren’t concerned about there being confusion as to what the blue ticks actually mean.

I guess, more money is good?

Meta has, in the past, said that it won’t charge a subscription fee to access its apps. But this, of course, would be supplemental – users wouldn’t have to pay, but they could buy a blue checkmark if they wanted, and use the implied value of recognition for their own purposes.

Which seems wrong, but tough times, higher costs – maybe every app needs to start digging deeper.

Meta hasn’t provided any info or confirmation at this stage, but we’ll keep you updated on any progress.



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YouTube Shorts Exceed 50B Daily Views, Meta’s Reels Doubles Plays 02/03/2023

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YouTube Shorts Exceed 50B Daily Views, Meta's Reels Doubles Plays 02/03/2023

YouTube Shorts and Meta’s Reels are both making
headway in the intensely competitive video shorts sector.  

During Alphabet’s Q4 earnings call on Thursday, CEO Sundar Pichai reported that YouTube Shorts has surpassed 50 billion
daily views. That’s up from the 30 billion reported in Q1 2022.

However, it still …



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