Academy Awards, Google Docs, Photo Curation, More: Thursday Afternoon ResearchBuzz, February 6, 2020


CNET: Oscars 2020: Explore nominees, streaming options in new Google search hub. “The 2020 Oscars ceremony is this Sunday, and Google wants to be your hub for all things red carpet-related. On Wednesday, the search giant shared a blog post with several ways its Search and Assistant features can help you keep up with all the awards.”


How-To Geek: How to Create Multilevel Lists in Google Docs. “In Google Docs, you can create and customize multilevel lists in your document with ease. You can format your lists with bullets, numbers, or even alphabetized them. Let’s take a look at the process.”

Lifehacker: To Improve Memory Recall, Curate Your Photos. “There is research demonstrating that when you take pictures, you may not remember the thing as well as if you had gone through the same experience camera-free. Angela Lashbrook writes at Elemental about some of that research. One study suggests that when we’re taking a photo, we think more about how that photo will be received (for example, whether people will like it on Instagram) than about what we actually want to notice or remember.”


ZDNet: The mysterious disappearance of Google’s click metric. “Clicks are at the heart of Google’s business, so why are these metrics no longer viable? And why hasn’t this change been noticed widely? Why didn’t the Wall Street analysts ask about these missing numbers in the financial call the same day as the report was released? What is Google hiding?” At this writing there are only two comments on the article, and they’re both from the author, Tom Foremski, continuing his thoughts.

Reuters: Exclusive: China’s mobile giants to take on Google’s Play store – sources. “China’s Xiaomi, Huawei Technologies, Oppo and Vivo are joining forces to create a platform for developers outside China to upload apps onto all of their app stores simultaneously, in a move analysts say is meant to challenge the dominance of Google’s Play store.”

BBC: Would you follow this man on Instagram?. “Once the preserve of young people posting pictures of their lunch, Instagram is becoming part of the the corporate world’s marketing machine. The app was where many of us turned to escape thoughts of work. Now it’s where your company can boast about all the good deeds it does in the community, or where the boss can voice concerns over their employees’ mental health.”


ProPublica: The Iowa Caucuses App Had Another Problem: It Could Have Been Hacked. “A glitch in the smartphone app used to count and report votes from individual precincts continues to delay results from Monday’s Iowa caucuses. But a closer look shows that the app had a potentially graver problem that apparently did not come into play: its vulnerability to hacking.”

The Register: Sketchy behavior? Wacom tablet drivers phone home with names, times of every app opened on your computer. “FYI: Wacom’s official tablet drivers leak to the manufacturer the names of every application opened, and when, on the computers they are connected to. Software engineer Robert Heaton made this discovery after noticing his drawing board’s fine-print included a privacy policy that gave Wacom permission to, effectively, snoop on him.”


Phys .org: Social media content matters for job candidates, researchers find. “Applying for a job? Don’t come across as self-absorbed on your Facebook page. Don’t express your strong views on potentially controversial topics either. According to researchers at Penn State, job recruiters are less likely to select candidates who appear to be too self-involved or opinionated in their social media posts. The team also found that recruiters are less likely to hire employees who post content suggestive of drug or alcohol use.”

Newswise: Machine learning technique speeds up crystal structure determination. “Nanoengineers at the University of California San Diego have developed a computer-based method that could make it less labor-intensive to determine the crystal structures of various materials and molecules, including alloys, proteins and pharmaceuticals. The method uses a machine learning algorithm, similar to the type used in facial recognition and self-driving cars, to independently analyze electron diffraction patterns, and do so with at least 95% accuracy.” Good afternoon, Internet…

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