Facebook’s Secret Censorship Rules Protect White Men from Hate Speech But Not Black Children

ProRepublica:

In the wake of a terrorist attack in London earlier this month, a U.S. congressman wrote a Facebook post in which he called for the slaughter of “radicalized” Muslims. “Hunt them, identify them, and kill them,” declared U.S. Rep. Clay Higgins, a Louisiana Republican. “Kill them all. For the sake of all that is good and righteous. Kill them all.”

Higgins’ plea for violent revenge went untouched by Facebook workers who scour the social network deleting offensive speech.

But a May posting on Facebook by Boston poet and Black Lives Matter activist Didi Delgado drew a different response.

“All white people are racist. Start from this reference point, or you’ve already failed,” Delgado wrote. The post was removed and her Facebook account was disabled for seven days.

A trove of internal documents reviewed by ProPublica sheds new light on the secret guidelines that Facebook’s censors use to distinguish between hate speech and legitimate political expression. The documents reveal the rationale behind seemingly inconsistent decisions. For instance, Higgins’ incitement to violence passed muster because it targeted a specific sub-group of Muslims — those that are “radicalized” — while Delgado’s post was deleted for attacking whites in general.

My emphasis.

We Analyzed 100 Million Headlines. Here’s What We Learned

BuzzSumo:

It is difficult to overstate the importance of headlines. A good headline can entice and engage your audience to click, to read, and to share your content. In many cases headlines are the thing that is shared rather than the article. So you knew that. But do you know what makes an engaging headline?

To help answer this question we analyzed 100 million article headlines. We have set out below our findings from the research including the:
Headline phrases that drive most engagement on Facebook
Worst performing headline phrases on Facebook
Most effective phrases that start or end headlines
Optimum number of words and characters to use in a headline
Most impactful numbers to use in headlines
Most engaging Twitter headline phrases
Differences between B2C and B2B headlines

Google launches its AI-powered jobs search engine

Techcrunch:

To create this comprehensive list, Google first has to remove all of the duplicate listings that employers post to all of these job sites. Then, its machine learning-trained algorithms sift through and categorize them. These job sites often already use at least some job-specific markup to help search engines understand that something is a job posting (though often, the kind of search engine optimization that worked when Google would only show 10 blue links for this type of query now clutters up the new interface with long, highly detailed job titles, for example).

Once you find a job, Google will direct you to the job site to start the actual application process. For jobs that appeared on multiple sites, Google will link you to the one with the most complete job posting. “We hope this will act as an incentive for sites to share all the pertinent details in their listings for job seekers,” a Google spokesperson told me.

As for the actual application process itself, Google doesn’t want to get in the way here and it’s not handling any of the process after you have found a job on its service.

It’s worth noting that Google doesn’t try to filter jobs based on what it already knows. As Zakrasek quipped, the fact that you like to go fishing doesn’t mean you are looking for a job on a fishing boat, after all.

Google is very clear about the fact that it doesn’t want to directly compete with Monster, CareerBuilder and similar sites. It currently has no plans to let employers posts jobs directly to its jobs search engine for example (though that would surely be lucrative). “We want to do what we do best: search,” Zakrasek said. “We want the players in the ecosystem to be more successful.” Anything beyond that is not in Google’s wheelhouse, he added.

If I wanted a large data set for training an AI to identify, understand and track individuals, this is exactly the service I’d launch to get one.  And I’m sure Google currently has no plans to allow people to list jobs directly on Google.

When cows attack: how dangerous are cattle and how can you stay safe around them?

The Conversation looks at (rare) instances of people attacked by cattle:

Does having a dog make a difference? Yes: dogs look like predators, and they are even more threatening to dairy cattle than unfamiliar people. This is reflected in the data: 94% of walkers killed had dogs, and two thirds of all attacks involved dogs. Though our sample numbers were small, we also found evidence suggesting that women were more likely to protect their dogs, while men let them go – the recommended advice, which my dad did not follow.

 

 

On the rise of unproductive entrepreneurs like Travis Kalanick

Financial Times:

Entrepreneurs are universally celebrated, but what if modern day entrepreneurship is creating ventures that do more harm than good?

piece this week in Harvard Business Review by Robert E. Litan and Ian Hathaway reminds us of this point by citing the work of William Baumol, who passed away last month.

Baumol’s overarching theory is fantastically compelling. It suggests the number of entrepreneurs in an economy is essentially fixed and what influences a nation’s entrepreneurial output is how those entrepreneurs are incentivised.

As per our own longstanding argument that innovation should not be treated as a universally positive phenomenon — since innovation comes in both good and bad forms — the view here is that the underlying incentive structure of the economy in which an entrepreneur operates dictates whether ventures are productive or unproductive.

As HBR’s Litan concludes:

If the U.S. is going to tackle its many problems, we are going to have to find ways to encourage would-be entrepreneurs to start innovative, productive businesses, rather than dedicating their efforts to co-opting government in order to secure economic advantage.

It should be noted that no company exemplifies this unproductive practice more than Uber.

Hence it’s worrying that amidst all the focus on Uber’s horrible corporate culture, very little attention is still being paid to the underlying non-viability of the business model, which is mostly based on undercutting the competition via free giveaways, exploiting drivers and/or adjusting the rules of the regulatory framework to suit the company’s own monopolistic agenda.

Thank goodness then for Hubert Horan, who’s bucking the trend with another scathing analysis of what’s really the issue with Uber.

As he notes in Naked Capitalism on Thursday:

Uber’s strategy was always to skip the hard “create real economic value” parts of this process, and focus strictly on the pursuit of artificial market power that global dominance would provide. As noted, Uber’s $13 billion investment base was used to fund the predatory competition needed to drive more efficient competitors out of business. This was 1600 times the investment funding Amazon needed prior to its IPO because Amazon could fund its growth out of positive cash flow. By contrast, Uber’s carefully crafted “narrative” allowed it to pursue predatory competition for seven years without serious scrutiny of its financial results or whether its anticipated dominance would improve industry efficiency or consumer welfare.

And if that doesn’t persuade you perhaps the following will (our emphasis):

Kalanick’s management culture, while repulsive on many levels, was actually brilliantly aligned with its business strategy and its investors’ objectives. Companies that can make money in competitive markets by creating real economic value do not have to create ruthless, hyper-competitive cultures where there are no constraints on management behavior as long as they are totally loyal to the CEO’s vision and can rapidly capture share from more efficient competitors. None of Uber’s bad behavior was aberrant—it was a completely integral part of its business strategy. Without this culture, Uber would have never grown as rapidly as it has, and would have never had any hope of industry dominance.

You’ll never guess where Russian spies are hiding their control servers

ARS Technica:

According to a report published Tuesday by researchers from antivirus provider Eset, a recently discovered backdoor Trojan used comments posted to Britney Spears’s official Instagram account to locate the control server that sends instructions and offloads stolen data to and from infected computers. The innovation—by a so-called advanced persistent threat group known as Turla—makes the malware harder to detect because attacker-controlled servers are never directly referenced in either the malware or in the comment it accesses.

Very clever.