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Instagram still offering lip service amidst harassment plague

(TECH) Instagram is seen as the calmest of the social networks, but power users indicate the massive harassment problem continues to be widespread.

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Instagram

If you’ve experienced harassment on Instagram, you certainly aren’t alone: according to testimonies from numerous Instagram influencers, hate-speech is rampant on the platform.

Like any social media platform, Instagram has its fair share of garbage people; however, what sets Instagram apart from sites like Twitter and Facebook is the juxtaposition of its intended kind-hearted functionality with the actual harshness of the community – and the lack of proactive responses from the Instagram team (despite being owned by Facebook).

Instagram has long been lauded as the least toxic social media platform available.

This is largely due to the platform’s aggressive anti-bullying campaigns; for example, Instagram launched an initiative to auto-flag potentially controversial or hateful comments back in 2016, and their machine-learning algorithms continue to improve the accuracy of this system. This year they launched a “bully filter,” which influencers assert altered nothing.

Indeed, from the outside looking in, Instagram looks to be a veritable haven for folks seeking asylum from other platforms’ toxic communities.

Unfortunately, machine-learning, ad campaigns, and automated systems can only cover so much ground — a lesson still being learned by platforms such as YouTube — and Instagram’s uniqueness doesn’t pertain to this category of issues. Worse yet, Instagram’s internal anti-bullying are reportedly “understaffed and unprioritized”, according to The Atlantic.

What Instagram’s harassment problem needs is direct human intervention, preferably from Instagram’s support team themselves, but even this kind of prevention would prove difficult given the constant onslaught of cruel comments some creators face. Some creators find themselves confronted by thousands of threats, hate-speech comments, and insults on a single post, to say nothing of the contents of their DMs.

But, as these creators have discovered, even subjecting a particularly vile threat to Instagram’s reporting process rarely yields a proactive response, and the users in question often remain able to use (and abuse) their accounts. Even if the users in question are banned, it only takes a few minutes to set up a new account and resume the harassment.

One could easily make the argument that implementing filters such as those found on Twitter — a platform virtually memorialized for the trolling that occurs on it — would take a substantial portion of the harassment out of play. As of publication, Instagram still does not use such filters despite the relative ease with which they could be integrated.

This is exactly what happens when companies attempt to turn something so basic as prevention of harassment into a PR stunt. Ensuring creators’ safety and continued prosperity on your platform should never be a feature you have to brag about — it should just effing happen.

Just because the bar for anti-harassment features on other social media sites is low enough to form its own circle of Hell doesn’t mean that waving an inclusivity banner and referring to your platform as “kind” does the trick.

Instagram is, of course, a huge company with a million tiny factors pulling the support team in every conceivable direction, and harassment is something that requires very real, very human responses; to that end, Instagram’s shortcomings aren’t out of the ordinary. However, Instagram (like any other social media platform) has a serious obligation to protect their creators from potentially life-threatening harassment, and that obligation is miles from being met, despite a promise to do just that.

Until Instagram finds a viable way to suppress harassment on their platform, creators will continue to face threats and hate-speech in an unsupported and overwhelming environment.

Jack Lloyd has a BA in Creative Writing from Forest Grove's Pacific University; he spends his writing days using his degree to pursue semicolons, freelance writing and editing, oxford commas, and enough coffee to kill a bear. His infatuation with rain is matched only by his dry sense of humor.

Tech News

Career consultants help job seekers beat AI robot interviews

(TECH NEWS) With the growth of artificial intelligence conducting the job screening, consultants in South Korea have come up with an innovative response.

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When it comes to resume screenings, women and people of color are regularly passed over, even if they have the exact same resume as a man. In order to give everyone a fair try, we need a system that’s less biased. With the cool, calculating depictions of artificial intelligence in modern media, it’s tempting to say that AI could help us solve our resume screening woes. After all, nothing says unbiased like a machine…right?

Wrong.

I mean, if you need an example of what can go wrong with AI, look no further than Microsoft’s Tay, which went from making banal conversation to spouting racist and misogynistic nonsense in less than 24 hours. Not exactly the ideal.

Sure, Tay was learning from Twitter, which is a hotbed of cruelty and conflict, but the thing is, professional software isn’t always much better. Google’s software has been caught offering biased translations (assuming, for example, if you wrote “engineer” you were referring to a man) and Amazon has been called out for using job screening software that was biased against women.

And that’s just part of what could go wrong with AI scanning your resume. After all, even if gender and race are accounted for (which, again, all bets are off), you’d better bet there are other things – like specific phrases – that these machines are on the lookout for.

So, how do you stand out when it’s a machine, not a human, judging your work? Consultants in South Korea have a solution: teach people how to work around the bots. This includes anything from resume work to learning what facial expressions are ideal for filmed interviews.

It helps that many companies use the same software to do screening. Instead of trying to prepare to impress a wide variety of humans, if someone knew the right tricks for handling an AI system, they could potentially put in much less work. For example, maybe one human interviewer likes big smiles, while the other is put off by them. The AI system, on the other hand, won’t waver from company to company.

Granted, this solution isn’t foolproof either. Not every business uses the same program to scan applicants, for instance. Plus, this tech is still in its relative infancy – a program could easily be in flux as requirements are tweaked. Who knows, maybe someday we’ll actually have application software that can more accurately serve as a judge of applicant quality.

In the meantime, there’s always AI interview classes.

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Google chrome: The anti-cookie monster in 2022

(TECH NEWS) If you are tired of third party cookies trying to grab every bit of data about you, google has heard and responded with their new updates.

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3rd party cookies

Google has announced the end of third-party tracking cookies on its Chrome browser within the next two years in an effort to grant users better means of security and privacy. With third-party cookies having been relied upon by advertising and social media networks, this move will undoubtedly have ramifications on the digital ad sector.

Google’s announcement was made in a blog post by Chrome engineering director, Justin Schuh. This follows Google’s Privacy Sandbox launch back in August, an initiative meant to brainstorm ideas concerning behavioral advertising online without using third-party cookies.

Chrome is currently the most popular browser, comprising of 64% of the global browser market. Additionally, Google has staked out its role as the world’s largest online ad company with countless partners and intermediaries. This change and any others made by Google will affect this army of partnerships.

This comes in the wake of rising popularity for anti-tracking features on web browsers across the board. Safari and Firefox have both launched updates (Intelligent Tracking Prevention for Safari and the Enhanced Tracking Prevention for Firefox) with Microsoft having recently released the new Edge browser which automatically utilizes tracking prevention. These changes have rocked share prices for ad tech companies since last year.

The two-year grace period before Chrome goes cookie-less has given the ad and media industries time to absorb the shock and develop plans of action. The transition has soften the blow, demonstrating Google’s willingness to keep positive working relations with ad partnerships. Although users can look forward to better privacy protection and choice over how their data is used, Google has made it clear it’s trying to keep balance in the web ecosystems which will likely mean compromises for everyone involved.

Chrome’s SameSite cookie update will launch in February, requiring publishers and ad tech vendors to label third-party cookies that can be used elsewhere on the web.

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Tech News

Computer vision helps AI create a recipe from just a photo

(TECH NEWS) It’s so hard to find the right recipe for that beautiful meal you saw on tv or online. Well computer vision helps AI recreate it from a picture!

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computer vision recreates recipe

Ever seen at a photo of a delicious looking meal on Instagram and wondered how the heck to make that? Now there’s an AI for that, kind of.

Facebook’s AI research lab has been developing a system that can analyze a photo of food and then create a recipe. So, is Facebook trying to take on all the food bloggers of the world now too?

Well, not exactly, the AI is part of an ongoing effort to teach AI how to see and then understand the visual world. Food is just a fun and challenging training exercise. They have been referring to it as “inverse cooking.”

According to Facebook, “The “inverse cooking” system uses computer vision, technology that extracts information from digital images and videos to give computers a high level of understanding of the visual world,”

The concept of computer vision isn’t new. Computer vision is the guiding force behind mobile apps that can identify something just by snapping a picture. If you’ve ever taken a photo of your credit card on an app instead of typing out all the numbers, then you’ve seen computer vision in action.

Facebook researchers insist that this is no ordinary computer vision because their system uses two networks to arrive at the solution, therefore increasing accuracy. According to Facebook research scientist Michal Drozdzal, the system works by dividing the problem into two parts. A neutral network works to identify ingredients that are visible in the image, while the second network pulls a recipe from a kind of database.

These two networks have been the key to researcher’s success with more complicated dishes where you can’t necessarily see every ingredient. Of course, the tech team hasn’t stepped foot in the kitchen yet, so the jury is still out.

This sounds neat and all, but why should you care if the computer is learning how to cook?

Research projects like this one carry AI technology a long way. As the AI gets smarter and expands its limits, researchers are able to conceptualize new ways to put the technology to use in our everyday lives. For now, AI like this is saving you the trouble of typing out your entire credit card number, but someday it could analyze images on a much grander scale.

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