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Facebook Provides Tips on How to Optimize Your Facebook Live Broadcasts

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Facebook recently launched a new video series in which it’s showcasing interviews with internal experts working on specific platform tools, in order to provide more insight into how each works, and how users can get the most out of the various functions the platform has to offer.

The first video in the series looked at Creator Studio, while the most recent addition focuses on Facebook Live, with tips on how to maximize your Facebook broadcasts and generate optimal reach.

You can view the full video here:

There’s a heap of interesting pointers shared – many of which you’ve likely heard before, but given they’re coming from Facebook direct, it does add some extra weight to the advice.

Here’s a look at some of the key notes.

Colyn Montgomery, a Product Marketing Manager for Facebook Live, is the expert in this instance, and Montgomery first talks about set-up, and ensuring that you’ve prepared for your live-stream:

Facebook Live tips

From there, Montgomery provides some tips on how to maximize engagement for your stream, and drive optimal viewership.

  • Preview Posts – Montgomery notes that a good way to raise awareness of your coming Facebook Live stream is to schedule an announcement post in Live Producer, which will then create a Facebook preview post that interested viewers can choose to get a reminder from.
Facebook Live announcement post
  • Crossposting – Montgomery also advises that users should look to crosspost to another Facebook Page where they can – be that of a guest on your live-stream or another, related Page that you control. “[Crossposting] allows you to post simultaneously to multiple Pages at once, and it looks like a native video to that Page, but the viewership is all aggregated, the statistics are all aggregated on that one video asset”.
  • Maximize Engagement – Montgomery notes that “Facebook prioritizes content that’s driving conversations and meaningful interactions between people”. Montgomery says that encouraging engagement will lead to more shares from viewers, but it will also send positive signals to the algorithm. Montgomery recommends moderating comments to ensure the conversation “remains healthy”, and kicking off the conversation by posting the first comment on your stream. Montgomery also recommends answering questions from your audience to ensure they feel heard and using polls in-stream.

Montgomery also covers some more technical elements of Facebook Live broadcasting, as well as the use of music, and why you need to be careful when using music content that you don’t have the rights to. 

These are some good notes for Facebook Live broadcasters, and it’s worth taking a look at the video for the more technical tips if you need. 

And definitely, Facebook Live is worth considering. Live broadcasts on the platform have seen a big increase during the COVID-19 lockdowns, with total viewership of Facebook Live streams rising by 50% since January. Facebook Live videos also, in general, see much higher levels of engagement than regular video uploads.

De next video in the series will look at Live Producer, and provide more insights into how the tool can be used to maximize your live streams. 

Socialmediatoday.com

SOCIAL

Twitter utökar innehållsrekommendationer, visar användare fler tweets från profiler de inte följer

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Twitter Expands Content Recommendations, Showing Users More Tweets from Profiles They Don’t Follow

Suddenly seeing a heap more random accounts appear in your Twitter feed?

This is why – today, Twitter ramped up its tweet recommendations for a heap more users.

So you’re going to see more tweets in your feed based on things like:

  • Interests based on tweet activity
  • Topics you follow
  • Tweets you’ve engaged with
  • Tweets people in your network like
  • People followed by people you follow

There’s a heap of expanded exposure potential here, and Twitter, in an effort to juice engagement, is looking to keep people in the app for as long as possible, which, ideally, these recommendations will facilitate.

It’s similar to how Facebook and Instagram are now showing you more AI-based content recommendations, which stems from TikTok, and its focus on highlighting the most relevant content to each user, which is not directly tied to your own social graph.

There was a time when your social graph was the defining factor, which gave Facebook a huge advantage, but now, there’s been a bigger shift towards entertainment over social interaction, which expands the potential to show each user more interesting content, from a much broader range of sources.

Conceptually it makes sense, but it’s largely reliant on the platform algorithms being actually good at showing you the best content, based on your interests. TikTok is very good at this, hooking into your expressed likes and dislikes based on your viewing history.

Twitter, however, not so much.

In my experience, Twitter’s recommended topics are always pretty far off, and even within those topics, the tweets it highlights tend to also be off-topic, uninteresting, and even just weird a lot of the time.

Right now, Twitter seems convinced that I’m interested in ‘AirBnB’, ‘skönhet Influencers’ and ‘Blink 182’. I’m not interested in any of these things, which I’ve tried to tell Twitter’s algorithms by selecting the ‘Not interested in this topic’ option – yet every time I re-open the app, they’re on my Explore page once again.

It could be worse – last month it was showing me ‘Peanuts’ comics, so I had Charlie Brown’s massive head staring back at me every time I tapped over to the Explore tab.

Again, I’ve directly told Twitter that I’m not interested, but it keeps showing them to me, while today, after this new announcement, this is what my feed currently looks like:

And they just keep coming – every time I scroll back to the top, another 20 tweets are in my feed, with 80% being recommendations.

Look, this is probably a short-term push, and maybe it helps people discover new users to follow, and helps Twitter boost engagement. But again, if you’re seeing a heap more recommendations, this is why.

Hopefully, the feedback will help Twitter refine its topic and content streams.  



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