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Social Media ‘Likes’ Change the Way We Feel About Our Memories

Summary: Sharing our personal experiences on social media may negatively impact how we feel about our memories, especially if the post doesn’t get many likes, a new study reports.

Memories are often considered very personal and private. Yet, in the past few years, people have got used to notifications from social media or phone galleries telling them they have a “memory”.

These repackaged versions of the past affect not just what we remember but also the attachments we have with those memories. In a new study, we found social media has the potential to change how people feel about their memories.

Social media metrics such as Facebook “likes” can negatively impact how people feel about certain memories, especially if these memories are shared without getting many likes. Beyond this, the anticipation of social media judgements about the past can also impact on what memories people share and how.

With the aim of understanding the everyday presence of these automated memories, we drew upon detailed interviews and focus groups with around 60 social media users. In particular, we looked at how people use features such as Timehop, Facebook memories and Apple memories.

We asked participants about their experiences of being reminded of memories by these different features. While some found the features to be creepy and invasive, others found them a useful reminder of previous experiences they’d forgotten.

We also asked whether the number of likes a shared memory received had any impact on them. In some cases participants felt differently about their memories depending on the number of likes.

https://neurosciencenews.com/memory-social-media-18263/

#social #media #facebook #DeleteFacebook #likes #memories #thinkabout
📡 @nogoolag 📡 @blackbox_archiv
Forced unemployment and second-class status: The life of Google's data center contractors

Contractors love the good pay and engaging work in Google's data centers. They resent that Google and its staffing firm, Modis Engineering, make them quit every two years.

Shannon Wait felt a muscle pull in her shoulder as she knelt to lug a 50-pound battery into its rack, but she ignored the pain and kept going. She had 20 batteries to replace in the cavernous, 85-degree warehouse that day.

Hauling batteries is a major part of the job for Wait and hundreds of other workers like her at Google's data centers. They'd tried switching to automated machines during her two years working in the Berkeley County, South Carolina facility, but that stopped after only a few weeks when one of the machines pinned a co-worker to a wall.

Despite the heavy lifting, many of the workers in Google's 14 U.S. data centers at least start out enjoying the work. It's a tech job for people with no tech experience. It pays relatively well ($15 per hour for most contract workers). And while it's physically demanding, it's nothing like working at an Amazon fulfillment center or the local Walmart.

But Wait and other workers like her who keep the data centers running are not actually Google employees. While as many as half the workers in some data centers actually work for Google, make Google salaries and get all those famous Google perks, the other half don't. For data center contractors specifically, that difference can extend beyond second-tier social status to job insecurity and forced unemployment.

Protocol spoke with four contract and full-time Google employees in three of the 14 U.S. locations for this story, all of whom were granted anonymity for fear of losing their jobs (except for Wait, whose data center contract recently ended).

https://www.protocol.com/google-contractors-forced-unemployment

#google #DeleteGoogle #data #center #contractors #unemployment #thinkabout
📡 @nogoolag 📡 @blackbox_archiv
Internal Facebook email reveals intent to frame data scraping as ‘normalized, broad industry issue’

Updated: More scraping incidents are "expected" in the future.

An internal email accidentally leaked by Facebook to a journalist has revealed the firm's intentions to frame a recent data scraping incident as "normalized" and a "broad industry issue."

Facebook has recently been at the center of a data scraping controversy. Earlier this month, Hudson Rock researchers revealed that information belonging to roughly 533 million users had been posted online, including phone numbers, Facebook IDs, full names, and dates of birth.

The social media giant confirmed the leak of the "old" data, which had been scraped in 2019. A functionality issue in the platform's contact platform, now fixed, allowed the automatic data pillaging to take place.

The scraping and subsequent online posting of user data raised widespread criticism and on April 14, the Irish Data Protection Commission (DPC) said it planned to launch an inquiry to ascertain if GDPR regulations and/or the Data Protection Act 2018 have been "infringed by Facebook."

Now, an internal email leaked to the media (Dutch article, translated) has potentially revealed how Facebook wishes to handle the blowback.

https://www.zdnet.com/article/facebook-internal-email-reveals-intent-to-frame-data-scraping-as-broad-industry-issue-and-normalized/

https://datanews.knack.be/ict/nieuws/interne-mail-toont-hoe-facebook-veiligheidsproblemen-wil-normaliseren/article-news-1724927.html

#facebook #DeleteFacebook #data #scraping #internal #email #thinkabout #why
📡 @nogoolag 📡 @blackbox_archiv
Tracking the WhatsApp habits of 5000 random Smartphones

In the previous blog post, we have seen that this is quite simple to hack the WhatsApp online status of a contact. A simple Online or last seen yesterday at 19:00 insight can be reverse engineered to leak phone habits at a couple of seconds accuracy.

‼️ There is an even more silly thing not mentioned yet:
You can track any mobile phone ! So let’s play and scale to track 5000 random numbers.

Like previously, I am sharing the source code as a PROOF OF CONCEPT. You can jump straight to the end if you are more curious about the results than by the technical stuff I’m about to resume. We are reusing the previous code with Node.js, Puppeteer & Grafana.

https://jorislacance.fr/blog/2021/04/16/whatsapp-tracking-2

💡 Hack the WhatsApp status to track contacts
https://jorislacance.fr/blog/2020/04/01/whatsapp-tracking

💡 How a WhatsApp status loophole is aiding cyberstalkers
https://t.me/BlackBox_Archiv/2018

💡 Sudden New Warning Will Surprise Millions Of WhatsApp Users
https://t.me/BlackBox_Archiv/1987

💡 All the Numbers are US: Large-scale Abuse of Contact Discovery in Mobile Messengers (PDF)
https://t.me/BlackBox_Archiv/2042

#DeleteWhatsapp #user #tracking #whatsapp #thinkabout #change
📡 @nogoolag 📡 @blackbox_archiv
India asks Twitter to take down some tweets critical of its COVID-19 handling

The Indian government asked social media platform Twitter (TWTR.N) to take down dozens of tweets, including some by local lawmakers, that were critical of India’s handling of the coronavirus outbreak, as cases of COVID-19 again hit a world record.

Twitter has withheld some of the tweets after the legal request by the Indian government, a company spokeswoman told Reuters on Saturday.

The government made an emergency order to censor the tweets, Twitter disclosed on Lumen database, a Harvard University project.

In the government's legal request, dated April 23 and disclosed on Lumen, 21 tweets were mentioned. Among them were tweets from a lawmaker named Revnath Reddy, a minister in the state of West Bengal named Moloy Ghatak and a filmmaker named Avinash Das.

https://www.reuters.com/world/india/india-asks-twitter-take-down-some-tweets-critical-its-covid-19-handling-2021-04-24/

💡 read this as well:
https://www.thehindu.com/news/national/other-states/seize-property-of-those-spreading-rumours-up-cm/article34404518.ece

#india #twitter #covid #corona #thinkabout
📡 @nogoolag 📡 @blackbox_archiv
The Rise of Big Data Psychiatry

The information captured by our smartphones, as well as new speech- and facial-recognition technologies, can yield invaluable insights for mental health professionals.

As a physician, I need to figure out three things when a new patient walks into my office: what their life is typically like, what has changed that made them seek treatment and what I can do to help them. It’s a complex problem, and most fields of medicine approach it by taking measurements. If I were a cardiologist evaluating a patient’s chest pain, for instance, I would speak with the patient, but then I would listen to their heart and measure their pulse and blood pressure. I might order an electrocardiogram or a cardiac stress test, tools that weren’t available a century ago.

Because I’m a psychiatrist, however, I evaluate patients in precisely the same way that my predecessors did in 1920: I ask them to tell me what’s wrong, and while they’re talking I carefully observe their speech and behavior. But psychiatry has remained largely immune to measurement. At no point in the examination do I gather numerical data about the patient’s life or behavior, even though tools for taking such measurements already exist. In fact, you likely are carrying one around in your pocket right now.

In the last decade, an entire industry has been built to predict a person’s behavior based on their smartphone use and online activity. Because our search and social media history is digitized and time stamped, it represents a permanent breadcrumb trail of our thoughts and emotions. Tech companies and governments already use these data to monitor and commodify our likes and dislikes; soon psychiatrists might be able to use them to measure and evaluate our mental state.

Our smartphones measure our movements with accelerometers, our location with GPS and our social engagement with the number of calls and texts we send. These data have extraordinary potential for psychiatric diagnosis and treatment. Studies have shown that the words we use to express ourselves on Facebook and Twitter can predict the emergence of conditions like postpartum depression and psychosis. A person’s recent Google search history, it turns out, is a better predictor of suicide than their clinician’s most recent notes.

https://telegra.ph/The-Rise-of-Big-Data-Psychiatry-04-29

via www.wsj.com

#smartphones #BigData #psychiatry #thinkabout
📡 @nogoolag 📡 @blackbox_archiv
The 11th Reason to Delete your Social Media Account: the Algorithm will Find You

TL;DR: you should delete your social media accounts, right now, even if you think they’re a net benefit in your life. I won’t judge you if you don’t, but this is not a joke, it’s not hypocritical to post a link to this on social media, and the fact that you probably came across it on social media doesn’t make the advice any less valuable.

After the introduction, there are five parts: the algorithm is real, the algorithm wants you online, the algorithm will find you, walk away from the algorithm, no, but seriously.

Introduction

A few years ago, Jaron Lanier wrote Ten Arguments to Delete your Social Media Accounts Right Now. Lanier’s book has the helpful feature of being completely unambiguous in its message (when, Jaron, when should I delete them? Oh). I ended up assigning it as optional reading for my undergraduate class, Bubbles. The Thanksgiving break means that students usually patch out that week and miss class, so I run an optional seminar instead. I’ve learned a huge amount from these little liminal-moment seminars each year, and some of them have led to real revisions in my own thinking, see, e.g., my views on University censorship when I was on Jim Rutt’s Currents podcast. In previous years, we read John Locke’s pluralistic Letter Concerning Toleration, but Lanier’s book has the advantage of not needing any coaching in close-reading.

https://simondedeo.com/?p=705

#delete #socialmedia #thinkabout
📡 @nogoolag 📡 @blackbox_archiv
The Instagram ads Facebook won't show you

Companies like Facebook aren’t building technology for you, they’re building technology for your data. They collect everything they can from FB, Instagram, and WhatsApp in order to sell visibility into people and their lives.

This isn’t exactly a secret, but the full picture is hazy to most – dimly concealed within complex, opaquely-rendered systems and fine print designed to be scrolled past. The way most of the internet works today would be considered intolerable if translated into comprehensible real world analogs, but it endures because it is invisible.

https://signal.org/blog/the-instagram-ads-you-will-never-see/

#signal #instagram #facebook #DeleteFacebook #ads #data #thinkabout
📡 @nogoolag 📡 @blackbox_archiv
Facebook shut down Signal’s ads because they exposed too much

Facebook has barred privacy-focused messaging app Signal from running a series of Instagram ads, which would have exposed just how much personal information the photo-sharing network – and its social media behemoth owner – has on individuals as they browse their timeline. Signal had intended to use Instagram’s own third-party advert tools to reveal some of the precise targeting that advertisers can buy access to.

There’s a general acknowledgement these days that advertisers can filter who, exactly, sees their commercials. That makes good business sense, after all: there’s no point in showing ads to people who are unlikely to be interested in your product.

However it’s likely that few mainstream consumers are aware of quite how much targeted information ad network providers like Facebook hold on them. Collated across multiple interactions online – with websites, apps, services, and more – they help build unexpectedly precise profiles about each user. Those profiles can then in turn be sold as visibility filters to more advertisers, so that they can further narrow down their campaigns to whoever they believe will be the most receptive audience.

https://www.slashgear.com/facebook-shut-down-signals-ads-because-they-exposed-too-much-04671574/

💡 read as well:
https://t.me/BlackBox_Archiv/2138

#signal #instagram #facebook #DeleteFacebook #ads #data #thinkabout
📡 @nogoolag 📡 @blackbox_archiv
RocketReach and the creepy world of data harvesting

You’ve probably never heard of RocketReach. But I think you should, as it’s got me properly riled up.

I just want people to leave me alone. My job is hard enough as it is, without people sliding into my inbox 24/7.

- Hey, got time for a quick 15 minute chat about this random tool you’ll never use? NO

- Hi, I’d love to chat with you about a potential partnership with-GO AWAY.

- We really think your organisation could benefit from- JUST LEAVE ME ALONE.

- I noticed you haven’t replied to our previous emails; just checking you didn’t miss this. I DIDN’T MISS IT I’M DELIBERATELY IGNORING YOU.

It’s constant, and it’s draining. I don’t know who out there is telling people that spamming folks with cold emails is the way to grow your business, but I’m begging them to stop.

I mean, it must be working, or they wouldn’t do it. But it’s just incredibly frustrating. Especially if you’re someone like me that doesn’t like to be mean to people. My deeply-instilled British values of politeness mean it pains me to ignore these people.

But I have to, or I wouldn’t be able to function. Just replying to these people would be a full-time job.

So imagine my dismay when I discovered there are websites out there specialising in making it even easier to contact me. And one of the worst offenders out there is RocketReach.

https://cookywook.co.uk/blog/rocketreach-and-the-creepy-world-of-data-harvesting/

#data #harvesting #BigData #privacy #rocketreach #thinkabout
📡 @nogoolag 📡 @blackbox_archiv