Étiquette : digital traces (page 1 of 10)


“Around 250 bounty hunters and related businesses had access to AT&T, T-Mobile, and Sprint customer location data, according to documents obtained by Motherboard. The documents also show that telecom companies sold data intended to be used by 911 operators and first responders to data aggregators, who sold it to bounty hunters. The data was in some cases so accurate that a user could be tracked to specific spots inside a building.”

Source : Big Telecom Sold Highly Sensitive Customer GPS Data Typically Used for 911 Calls – Motherboard

“The tool, called LPAuditor (short for Location Privacy Auditor), exploits what the researchers call an « invasive policy » Twitter deployed after it introduced the ability to tag tweets with a location in 2009. For years, users who chose to geotag tweets with any location, even something as geographically broad as “New York City,” also automatically gave their precise GPS coordinates. Users wouldn’t see the coordinates displayed on Twitter. Nor would their followers. But the GPS information would still be included in the tweet’s metadata and accessible through Twitter’s API”.

Source : Your Old Tweets Give Away More Location Data Than You Think | WIRED

“Predictim analyzes their digital footprint to accurately assess their level of risk, giving you a complete picture of them that can’t be achieved with only a standard background check.”

Source : Peace of Mind For Families – Predictim

“La principale nouveauté introduite au cours de la dernière décennie tient à l’émergence d’un troisième marché, venant se superposer à la vente de produits culturels et à celle de l’attention qu’ils attirent. Ce sont désormais nos « traces attentionnelles » qui font l’objet du commerce dont se nourrit l’économie de l’attention. L’innovation la plus « disruptive » des media électroniques ne tient pas à ce qui s’affiche sur nos écrans numériques, mais aux informations moissonnées à propos des gestes attentionnels que l’interactivité nous invite à exercer ”

Source : Big data : « Ce sont désormais nos “traces attentionnelles” qui font l’objet du commerce »

Tom Insel and Paul Dagum

“A startup founded in Palo Alto, California, by a trio of doctors, including the former director of the US National Institute of Mental Health, is trying to prove that our obsession with the technology in our pockets can help treat some of today’s most intractable medical problems: depression, schizophrenia, bipolar disorder, post-traumatic stress disorder, and substance abuse. Mindstrong Health is using a smartphone app to collect measures of people’s cognition and emotional health as indicated by how they use their phones. Once a patient installs Mindstrong’s app, it monitors things like the way the person types, taps, and scrolls while using other apps. This data is encrypted and analyzed remotely using machine learning, and the results are shared with the patient and the patient’s medical provider.”

Source : The smartphone app that can tell you’re depressed before you know it yourself – MIT Technology Review

“When we use data to create better experiences for you, we work hard to do it in a way that doesn’t compromise your privacy. One example is our pioneering use of Differential Privacy, where we scramble your data and combine it with the data of millions of others. So we see general patterns, rather than specifics that could be traced back to you. These patterns help us identify things like the most popular emoji, the best QuickType suggestions, and energy consumption rates in Safari.”

Source : Privacy – Apple

“Gal Vallerius a été confondu par des agents de la DEA qui enquêtaient sur ce forum. Ces derniers avaient notamment établi des similitudes entre la façon d’écrire d’« OxyMonster » et celle de Gal Vallerius, très actif sur des plateformes comme Instagram et Twitter – l’usage de doubles points d’exclamation par exemple ou de l’expression « cheers », ainsi que quelques publications en français.”

Source : Vingt ans de prison pour Gal Vallerius, le barbu du dark Web

“An unnoticed observer in the house later revealed that their encounter ended in murder, a police report said. Five days afterward, Mr. Aiello’s stepdaughter, Karen Navarra, 67, was discovered by a co-worker in her house with fatal lacerations on her head and neck. She had been wearing a Fitbit fitness tracker, which investigators said showed that her heart rate had spiked significantly around 3:20 p.m. on Sept. 8, when Mr. Aiello was there. Then it recorded her heart rate slowing rapidly, and stopping at 3:28 p.m., about five minutes before Mr. Aiello left the house, the report said.”

Source : Police Use Fitbit Data to Charge 90-Year-Old Man in Stepdaughter’s Killing – The New York Times

“A l’instar des partis politiques, qui utilisent les Big Data issus des réseaux sociaux pour analyser les opinions de leurs concitoyens, nous avons souhaité pour cette présidentielle mettre les outils de la recherche à disposition des citoyens via ce « macroscope politique ». A l’ère du numérique, ce rééquilibrage dans l’utilisation des outils du Big Data est à notre sens indispensable pour préserver un accès démocratique à l’information”.

Source : Le Politoscope | Politoscope

Potential Data Sources

“Car makers are collecting massive amounts of data from the latest cars on the road. Now, they’re figuring out how to make money off it. With millions of cars rolling off dealer lots with built-in connectivity, auto companies are gaining access to unprecedented amounts of real-time data that allow them to track everything from where a car is located to how hard it is braking and whether or not the windshield wipers are on.
The data is generated by the car’s onboard sensors and computers, and then stored by the auto maker in cloud-based servers. Some new cars have as many as 100 built-in processors that generate data”.

Source : What Your Car Knows About You – WSJ

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