What will Musk do with Twitter?

[ferri]

It isn't just politics either. I've suddenly gotten suggestions for different sports, sports teams and players. If I wanted to follow a player before I had to search for him/her.

[The Green Barbarian]

......except.....there are opinions........ and there is reality.

And that reality is:

Hmmm.....interesting. I can't comment on that as I'm not on any social media.

Exactly.

Having been on social media, it's obvious - Twitter - left wing cess-pool. Not so much any more.

[foenix]

......except.....there are opinions........ and there is reality.

And that reality is:

Hmmm.....interesting. I can't comment on that as I'm not on any social media.

Exactly.

Having been on social media, it's obvious - Twitter - left wing cess-pool. Not so much any more.

I can't comment on what's being posted but certainly I can point out when Twitter's own staff says their software favours and amplifies the right. The researchers that have studied Twitter also verifies Twitter is right leaning.

[The Green Barbarian]

I can't comment on what's being posted

And yet here you are.

The researchers that have studied Twitter also verifies Twitter is right leaning.

Yes, only a "right leaning" company would censor a story during an election to favour the disgusting and evil Democrat party. Anyway Goebbels, keep up with the repeating of lies.

[Pappywinkle]

I can't comment on what's being posted but certainly I can point out when Twitter's own staff says their software favours and amplifies the right. The researchers that have studied Twitter also verifies Twitter is right leaning.

The only people dumb enough to think Twitter leans left are those so far to the right they're about to fall off the flat earth they also believe in.

[Jlabute]

So?

How does Twitter make the algorithms politically biased? It appears to me they have no idea how their complex algorithms and machine learning create these organic results and this is why they do "studies" rather than refer to the algorithm. If there is nothing in an algorithm to specifically target political lean, then there is no political bias in an algorithm.

Seems to me if Twitter was not so blatantly and politically biased with leftist opinion checkers, and Conservative [shadow]bans, Conservatives would be yet MORE popular! Perhaps leftist content just sucks that much.

[foenix]

So?

How does Twitter make the algorithms politically biased? It appears to me they have no idea how their complex algorithms and machine learning create these organic results and this is why they do "studies" rather than refer to the algorithm. If there is nothing in an algorithm to specifically target political lean, then there is no political bias in an algorithm.

Seems to me if Twitter was not so blatantly and politically biased with leftist opinion checkers, and Conservative [shadow]bans, Conservatives would be yet MORE popular! Perhaps leftist content just sucks that much.

From the links.

Twitter has admitted it amplifies more tweets from rightwing politicians and news outlets than content from leftwing sources.

The social media platform examined tweets from elected officials in seven countries – the UK, US, Canada, France, Germany, Spain and Japan. It also studied whether political content from news organisations was amplified on Twitter, focusing primarily on US news sources such as Fox News, the New York Times and BuzzFeed.

The study compared Twitter’s “Home” timeline – the default way its 200 million users are served tweets, in which an algorithm tailors what users see – with the traditional chronological timeline where the most recent tweets are ranked first.
Advertisement

The research found that in six out of seven countries, apart from Germany, tweets from rightwing politicians received more amplification from the algorithm than those from the left; right-leaning news organisations were more amplified than those on the left; and generally politicians’ tweets were more amplified by an algorithmic timeline than by the chronological timeline.

According to a 27-page research document, Twitter found a “statistically significant difference favouring the political right wing” in all the countries except Germany. Under the research, a value of 0% meant tweets reached the same number of users on the algorithm-tailored timeline as on its chronological counterpart, whereas a value of 100% meant tweets achieved double the reach. On this basis, the most powerful discrepancy between right and left was in Canada (Liberals 43%; Conservatives 167%), followed by the UK (Labour 112%; Conservatives 176%). Even excluding top government officials, the results were similar, the document said.

Twitter said it wasn’t clear why its Home timeline produced these results and indicated that it may now need to change its algorithm. A blog post by Rumman Chowdhury, Twitter’s director of software engineering, and Luca Belli, a Twitter researcher, said the findings could be “problematic” and that more study needed to be done. The post acknowledged that it was concerning if certain tweets received preferential treatment not as a result of the way in which users interacted, but because of the inbuilt way the algorithm works.

“Algorithmic amplification is problematic if there is preferential treatment as a function of how the algorithm is constructed versus the interactions people have with it. Further root cause analysis is required in order to determine what, if any, changes are required to reduce adverse impacts by our Home timeline algorithm,” the post said.

[ferri]

I was just going through my Twitter feed and realized that I am actually getting Tweets from places/people I follow. Like Earthquake Alerts. I've followed them forever and didn't see their tweets unless I went to their page. Are they left or right?

[foenix]

....according to the algorithm they must be right .....that's why you're getting them now.

[Jlabute]

I was just going through my Twitter feed and realized that I am actually getting Tweets from places/people I follow. Like Earthquake Alerts. I've followed them forever and didn't see their tweets unless I went to their page. Are they left or right?

Oh yeah. Something has changed since the take-over, and it appears to fall on Twitter employees. This has been noticed by many others and may be a reset or side-effect of another change perhaps. Not sure. It raises suspicion about Twitter inner workings.

[The Green Barbarian]

So?

How does Twitter make the algorithms politically biased? It appears to me they have no idea how their complex algorithms and machine learning create these organic results and this is why they do "studies" rather than refer to the algorithm. If there is nothing in an algorithm to specifically target political lean, then there is no political bias in an algorithm.

Seems to me if Twitter was not so blatantly and politically biased with leftist opinion checkers, and Conservative [shadow]bans, Conservatives would be yet MORE popular! Perhaps leftist content just sucks that much.

Notice how they just ignore how Twitter censored a story to protect the Dems? It's just "not an issue".

[ferri]

Oh yeah. Something has changed since the take-over, and it appears to fall on Twitter employees. This has been noticed by many others and may be a reset or side-effect of another change perhaps. Not sure. It raises suspicion about Twitter inner workings.

Something else I just realized, I also follow Big Ben Clock. You know the one that BONG BONG BONG at the hour? LOL I just started seeing that too. hahaha

[Jlabute]

So?

How does Twitter make the algorithms politically biased? It appears to me they have no idea how their complex algorithms and machine learning create these organic results and this is why they do "studies" rather than refer to the algorithm. If there is nothing in an algorithm to specifically target political lean, then there is no political bias in an algorithm.

Seems to me if Twitter was not so blatantly and politically biased with leftist opinion checkers, and Conservative [shadow]bans, Conservatives would be yet MORE popular! Perhaps leftist content just sucks that much.

Notice how they just ignore how Twitter censored a story to protect the Dems? It's just "not an issue".

Certainly. Censorship, suspensions, user bans, ad bans. Climate is barely understood and the left is more than happy to ban climate related ads that don't follow 'their' incomplete science or models (which don't work). It wreaks of political influence. When it comes to the biggest verified scandal ever in human history, Twitter prefers to censor it on behalf of the Dems. The leftist media won't admit why they buried the laptop story and would rather lose credibility forever.

The laptop whistleblower is now suing Schiff, CNN, the Daily Beast, and Politico.

https://www.foxnews.com/media/hunter-bi ... schiff-cnn

[The Green Barbarian]

Something else I just realized, I also follow Big Ben Clock. You know the one that BONG BONG BONG at the hour? LOL I just started seeing that too. hahaha

It was probably censored by the Twitter thought police because the name resonated too much with "toxic masculinity" lol....

[foenix]

So?

How does Twitter make the algorithms politically biased? It appears to me they have no idea how their complex algorithms and machine learning create these organic results and this is why they do "studies" rather than refer to the algorithm. If there is nothing in an algorithm to specifically target political lean, then there is no political bias in an algorithm.

Seems to me if Twitter was not so blatantly and politically biased with leftist opinion checkers, and Conservative [shadow]bans, Conservatives would be yet MORE popular! Perhaps leftist content just sucks that much.

Notice how they just ignore how Twitter censored a story to protect the Dems? It's just "not an issue".

Seems to me the NYPost got put in the penalty box for a couple of days due to their past reputation on echoing false misinformation. Once Twitter did their own research, NYPost was let out of the penalty box. The NYPost shouldn't lie so much then they wouldn't be taken to task when they cry wolf the next time.