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Meta Announces New, 2,500 Staff Engineering Hub in Toronto, New Grants for Canadian Researchers

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Meta Announces New, 2,500 Staff Engineering Hub in Toronto, New Grants for Canadian Researchers


Meta has announced a significant new investment in the Canadian tech sector, with a pledge to build a new, 2,500 staff engineering hub in Toronto, as well as the launch of a new, $500k grant program for Canadian researchers to fund new explorations into metaverse-aligned technologies.

First off, on its new engineering hub –as part of an expansion of its existing Canadian Reality Labs and AI Research teams, Meta is building a new, purpose-built engineering lab, focused on next generation development.

As per Meta:

The majority of roles are engineering-focused and expected to span across building extended reality experiences and Meta technologies. We’re also establishing the first Canadian WhatsApp, Messenger and Remote Presence engineering teams and growing our Canadian Reality Labs and AI Research teams. These new, highly-skilled jobs will offer a blend of in-office and remote work options, creating economic opportunity for Canadian talent in every region of the country.”

The investment follows on from Meta’s recent announcement of a new, 2,000 staff ‘Meta Lab’ in Madrid, where it will explore new ways for Europeans to connect with each other in the next stage of digital connectivity.

In addition to this, Meta’s also launching a new grants program for Canadian researchers, with 17 projects getting $30k each to continue their work.

The projects being funded range from user-adaptive and personalized interactive systems, to AI and ‘hyper-connected virtual-physical objects’, all exploring new, advanced methods of digital connection and interaction, that will be critical for the next stage.

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Which is still some way off as yet.

Despite what some trendjumpers and ‘first-movers’ may want to suggest, many elements of the metaverse are still entirely conceptual, and Meta’s taking on a huge amount of staff overhead and investment in the hopes that these bets will eventually pay off.

Which is still not certain. Despite Meta CEO Mark Zuckerberg being considered a visionary, and the company being one of the largest tech firms in the world, there is still a question as to whether its metaverse vision will come to fruition, and evolve into the all-consuming, immersive, multi-purpose medium that Zuck and Co. want to see.

Adding further context on this aspect, Meta also included this description of the metaverse within its announcement:

The metaverse is the next evolution in social technologies and the successor to the mobile internet. It will be made up of digital spaces, including immersive 3D experiences, that are all interconnected so you can easily move between them, and has the potential to unlock access to new creative, social and economic opportunities. In the future, you’ll be able to access the metaverse from various devices, including VR headsets and AR glasses.

How, exactly, all of these technologies end up being interwoven remains to be seen, with interoperability being both a critical element, and key potential fail point of the broader metaverse picture.

Which is why Meta is investing so heavily – so much so that its investment in metaverse-aligned projects is essentially what shrunk its profits in Q4 2021, sending shares in Meta sinking.

These new staffing and infrastructure announcements show that it’s not reverting course, and it’s firmly committed to its metaverse vision – which likely means that Meta investors will be in for more rocky earnings announcements for some time yet.

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Canada, meanwhile, is the main beneficiary, with a huge amount of new investment into the emerging Toronto tech scene.

“Canada is poised to have a critical role in building for the next evolution in social technologies, so we plan to help further establish the country as a global leader in this effort.”

It’s interesting to note Meta’s global expansion in this respect, especially in regards to how it’s going about choosing locations, with tax relief – generally the biggest guiding factor for such in the past – now seeming like less of a consideration (though, of course, these investments won’t change its overall income process).

It’ll be interesting to see how these thousands of new staff accelerate Zuckerberg’s grand vision, and whether that does indeed see its full metaverse scenario begin to take shape, sooner rather than later.

You can read more about the projects being funded by Meta’s new grants program here
 



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TikTok Rolls Out Comment Downvotes to All Users

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TikTok Rolls Out Comment Downvotes to All Users

After testing them out in the live environment over the last six months, TikTok has today announced that it’s rolling out comment downvotes for all users, as a means to flag inappropriate responses to video clips.

As you can see in this example, TikTok’s ‘Thumbs Down’ comment downvote option will be displayed at the far right of each comment, providing a quick and easy way for users to tag such, in order to help TikTok identify negative behaviors in the app.

Which is the key focus – rather than being an audience response element, like downvotes on Reddit, TikTok’s approach is actually to use the indicator as a means to weed out negative behaviors.

As TikTok explained back in April:

“We’ve started testing a way to let individuals identify comments they believe to be irrelevant or inappropriate. This community feedback will add to the range of factors we already use to help keep the comment section consistently relevant and a place for genuine engagement. To avoid creating ill-feeling between community members or demoralize creators, only the person who registered a dislike on a comment will be able to see that they have done so.

So dislike counts won’t be public, as they are on Reddit, with the purpose, again, being to help TikTok’s moderation team get on top of negative trends, as flagged by its users.

How it will likely work in this respect is that downvoted comments will be displayed to TikTok mods in ascending order, based on total downvote activity across the app, which will then enable them to them wade through the list and pick up on rising negative trends, providing another way to detect and address such in their process.

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That could also help to limit the use of the feature for ‘brigading,’ or using it as a means to launch targeted attacks on people or opinions based on alternative motivations. You can imagine how, for example, people might try to use this feature as a means to downvote conflicting political opinions into oblivion, but as the downvotes themselves don’t impact public display, and are only an indicator for TikTok’s moderation team, that’s less likely to become an issue.

Which would be part of the reason why TikTok’s comfortable pushing ahead with a full launch – and it may well be a good way to help keep things more civil, and more positive in the app.

TikTok actually first began its comment downvote experiment back in 2020, with some researchers spotting the feature in early testing.

TikTok comment downvotes

Both Facebook and Twitter have also been experimenting with comment downvotes for similar purpose, not as a means to better surface or hide user responses, but to help identify negative behaviors based on what users think is bad, which effectively then helps to improve automated algorithms to detect such in future.

Which could be a better use of the option – though it is worth noting that Reddit’s public downvote system does help the platform highlight more relevant conversations and topics, based on actual responses from humans, as opposed to algorithmically identified trends that are guided by clicks, Likes, dwell time, shares, etc.

The problem with algorithmic trends is that divisive, negative content is amplified via this process, because sparking an emotional response, like anger, drives more people to comment and share. The algorithm then takes as an indicator that more people might want to see it, based on engagement response. The system itself has no way of determining the intent of the content, it only goes on binary signals – which means that triggering more reactions, however you can, is the best way to maximize exposure.

That doesn’t happen on Reddit, because such posts are rapidly downvoted into the doldrums of the app.

Giving actual people the chance to drive exposure in this respect may be a more beneficial approach overall, but the bigger players will never go with it because it also makes users less likely to comment, likely because they’re also concerned about their own remarks being downvoted to the pit.

Previous analysis has suggested that more than 98% of Reddit’s monthly active users don’t ever post or comment in the app, which is likely a key consideration that would limit take-up of such in other apps.

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So they go with automated algorithms instead, which also then enables them to wash their hands of any responsibility for whatever type of content gains traction and doesn’t across their networks.

Negative content drives more engagement, and thus, more reach in their apps? ‘We don’t know, it’s based on how users respond, factoring in all forms of engagement, so we’re not responsible for whatever that leads to’.

It does seem that a human-moderated process, via public downvotes, could improve the flow of information in this respect. But the impacts on engagement could also be significant.

In any event, TikTok’s comment downvotes are not designed to help guide the conversation, and could be a valuable supplementary measure to detect rising negative trends.

TikTok says that comment downvotes are being released globally in the app from today.



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