Current Facebook Statistics

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Current Facebook Statistics

Postby presserffg » Sat Oct 27, 2018 7:30 am

So Facebook is trying to better automate which news items are a priority for fact-checkers by attempting to undermine users who are trying to game the system — while still offloading the problem of being a disseminator of fake news onto users and fact-checkers, of course. The actual problem is that anyone trusts Facebook as a place to get their news in the first place.

It's a fun recursive loop if you're a nihilist.

So yeah: The company with the reputation for being the least trustworthy is rating the trustworthiness of its users. We'd be fools to think that it hasn't been doing this all along in other areas. Some animals are more equal than others. The thing is, Facebook long ago decided who was more trustworthy — its real customers, its advertisers. It only pretended you'd be more trustworthy if you gave them your ID. I'll wager that Facebook's secret trust-ranking sauce is going to be in who you're connected to, what neighborhood you live in, and job status (or type of job -- sorry, sex workers). If it isn't secretly already doing exactly that -- to users and to people's shadow profiles.

According to the article revealing the trust-rankings, Facebook isn't being transparent about its reputation ranking because that would enable users to game it. And so Facebook attempts to cut the horror evoked by its admission of reputation rating by feigning amazement that people would game its systems. "I like to make the joke that, if people only reported things that were false, this job would be so easy!" Facebook's rep told Washington Post. "People often report things that they just disagree with." As if this wasn't about catering to neo-fascist conservatives, NYU just revealed that Facebook's biggest political ad spenders are Trump campaign toadies.

Facebook's highest priority, it seems, is reputation repair and its own grievances against transparency. It's the reason why Facebook has failed, dramatically, as the steward of community safety it pretends to be, and survives, grossly, as the world's top tool for doing harm by way of strong-arming people out of their data.

So, will it work? The new effort to fight fake news by reverse-gaming the bad actors who've been gaming Facebook since its inception?

I'm sure we'll never know.
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Re: Current Facebook Statistics

Postby stindows » Sat Oct 27, 2018 10:54 am

From a broader perspective, Beringei signifies yet another step in the evolution of how the company is using Hadoop. And where Facebook goes, the industry tends to follow.

In part, this is because when Facebook starts outgrowing a technology, it’s a pretty good indicator that other large users of those technologies might soon start running into similar issues. For example, Facebook created the Hive data warehouse system for running SQL queries on Hadoop data, only to replace it with a much faster system called Presto in 2013.

Since then, Presto has amassed an impressive list of users. What’s more, Hadoop vendors Cloudera, Hortonworks and MapR—plus any number of startups, and even users such as Salesforce—have developed their own low-latency Hive alternatives.

Recently (and somewhat ironically), Facebook jumped onto the Apache Spark bandwagon in big way, after putting Spark through its paces to ensure it could handle Facebook’s giant batch-processing workloads. Spark was created, and became hugely popular, as a simpler, faster alternative to Hadoop MapReduce.
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Joined: Tue Aug 28, 2018 8:06 pm

Re: Current Facebook Statistics

Postby roomftrhaver » Sat Oct 27, 2018 10:56 am

But Beringei is different from previous Facebook creations such as Hive, Presto or Corona because it doesn’t require Hadoop at all. While it’s a narrow-enough use case that it alone won’t likely have a material effect on HBase usage, or certainly on the overall market for Hadoop software, Beringei might play a small role in a future scenario where Hadoop just isn’t on the radar for many companies.

Already, startups not yet dealing with big data (at least by today’s definition), can likely afford to bypass Hadoop and its relative complexity altogether, opting instead to build around more modern and right-scale technologies from the start. Beringei and Spark are two examples among a sea of open source databases, data stores and real-time processing engines now available.

And as the pool of engineers leave companies like Facebook and other early adopters, to start their own companies or join others, we might expect them to become software Johnny Appleseeds spreading the seed of these technologies and practices across new lands. You hear frequently about ex-Google engineers missing its famous Borg system once they leave, for example, or about engineers having to rebuilt the same thing over and over as they move from job to job. But the beautiful thing about the open source era is that it’s much easier now to take your favorite tools with you.

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