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Meta Announces New Features and Insights for International Women’s Day



Meta Announces New Features and Insights for International Women's Day

Meta has announced a range of new features, while it’s also hosted a new, metaverse-aligned discussion, as part of its International Women’s Day events.

How can women help shape the metaverse, and what will the future of connection mean for female users?

Meta’s Chief Diversity Officer Maxine Williams hosted a discussion on exactly this, with a range of five female VR creators joining the chat in Horizon Workrooms.

It’s an interesting discussion on the next stage of digital connection, while also providing a preview of how metaverse/VR meetings can be held, and how the avatar component can bring more expression and connection to such events.

In addition to this, Meta’s also launched a new test of nonprofit fundraisers within Reels on Facebook and Instagram, as part of a new push to help support charities through the TikTok-like feature.

Meta’s also launched a new series of VR programming across Horizon Venues and Oculus TV to highlight the historic contributions women have made, and continue to make, while Instagram’s looking to highlight diverse women creators via a new series of posts in the app.


Meta’s also adding new custom avatar stickers and profile frames to mark the event, while it’s also hosting a range of female-led content in VR, including concerts by Charli XCX and Billie Eilish in Horizon Venues and new documentary series’. 

Meta’s also announced a new set of features on Messenger and Messenger Kids, and in combination, there’s a range of ways to participate in Women’s Day, and Women’s History Month across its apps.

And it’s particularly interesting to consider the metaverse element here, and how the metaverse, and VR connection, could actually facilitate more opportunity for female creators.

Though it does remain interesting to me that Meta’s ‘metaverse’ vision is really just VR, and that it’s essentially re-angling the broader conversation around the next stage of digital connection around its long-standing VR projects.

Now, it hardly refers to VR at all, it’s all ‘the metaverse’, which Meta is using as an umbrella term for all new tech developments, which will help to establish it as the key host of the next stage.

The more we look to connect in the metaverse, the more we look to connect to Meta, with the broader narrative now working in favor of its evolving tools.

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TikTok Rolls Out Comment Downvotes to All Users



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.


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.


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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