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FaceBook is the giant in social networking but WhatsApp has taken the lead in social messaging on mobile

#techworkshop important shifts in #SocialMedia : #WhatsApp ahead of #Facebook in #SocialMessaging @SCSULIB 290 http://ow.ly/ryL7P

Messenger Wars: How Facebook lost its lead

http://www.slideshare.net/OnDevice/messenger-wars-how-facebook-lost-its-lead?utm_source=slideshow&utm_medium=ssemail&utm_campaign=weekly_digest

FaceBook is the giant in social networking but WhatsApp has taken the lead in social messaging on mobile

 

social messaging dec 2013

Some 13-Year-Olds Tell Us Why They Think Facebook Stinks

Some 13-Year-Olds Tell Us Why They Think Facebook Stinks

Read more: http://www.businessinsider.com/why-tweens-and-teens-think-facebook-stinks-2013-11#ixzz2jcxYYSSr

now that he has a phone, he would rather check out other cooler options, like Snapchat, Vine, and Instagram.
words are less important than images and videos
“I wouldn’t de-activate,” Aidan said. “It’s still a way to connect, I just won’t check it often.”

AI laptops

https://www.cnet.com/news/intel-will-build-ai-brains-into-your-laptop-for-tomorrows-speed-boost/

AI computing involves two phases: training and inference. Training requires computers that can process enormous amounts of data. For example, getting an AI system to recognize what’s in photographs requires a computer to sort through billions of labeled photos to create a model. That model is used in the second step to infer, or identify, what’s in a specific photo.

Intel already sells its Nervana chips for training and inference to data centers packed with servers, computing infrastructure that often powers services at AI-heavy companies such as Google and Facebook. Intel is now shipping its larger, more expensive and power-hungry Nervana NNP-T chips for training and its smaller NNP-I chips for inference, the chipmaker announced.

Likewar

LikeWar

https://www.npr.org/books/titles/655833359/likewar-the-weaponization-of-social-media

https://www.foreignaffairs.com/reviews/capsule-review/2018-10-16/likewar-weaponization-social-media

https://information-professionals.org/wp-content/uploads/2018-10-25-LikeWar.pdf

https://madsciblog.tradoc.army.mil/87-likewar-the-weaponization-of-social-media/

Social media had changed not just the message, but the dynamics of conflict. How information was being accessed, manipulated, and spread had taken on new power. Who was involved in the fight, where they were located, and even how they achieved victory had been twisted and transformed. Indeed, if what was online could swing the course of a battle — or eliminate the need for battle entirely — what, exactly, could be considered ‘war’ at all?

Even American gang members are entering the fray as super-empowered individuals, leveraging social media to instigate killing s via “Facebook drilling” in Chicago or “wallbanging” in Los Angeles.

information gerrymandering

Information gerrymandering in social networks skews collective decision-making

https://www.nature.com/articles/d41586-019-02562-z

https://www.facebook.com/mariana.damova/posts/10221298893368558

An analysis shows that information flow between individuals in a social network can be ‘gerrymandered’ to skew perceptions of how others in the community will vote — which can alter the outcomes of elections.

The Internet has erased geographical barriers and allowed people across the globe to interact in real time around their common interests. But social media is starting to compete with, or even replace, nationally visible conversations in print and on broadcast media with ad libitum, personalized discourse on virtual social networks3. Instead of broadening their spheres of association, people gravitate towards interactions with ideologically aligned content and similarly minded individuals.

n information gerrymandering, the way in which voters are concentrated into districts is not what matters; rather, it is the way in which the connections between them are arranged (Fig. 1). Nevertheless, like geographical gerrymandering, information gerrymandering threatens ideas about proportional representation in a democracy.

Figure 1 | Social-network structure affects voters’ perceptions. In these social networks, ten individuals favour orange and eight favour blue. Each individual has four reciprocal social connections. a, In this random network, eight individuals correctly infer from their contacts’ preferences that orange is more popular, eight infer a draw and only two incorrectly infer that blue is more popular. b, When individuals largely interact with like-minded individuals, filter bubbles arise in which all individuals believe that their party is the most popular. Voting gridlock is more likely in such situations, because no one recognizes a need to compromise. c, Stewart et al.1 describe ‘information gerrymandering’, in which the network structure skews voters’ perceptions about others’ preferences. Here, two-thirds of voters mistakenly infer that blue is more popular. This is because blue proponents strategically influence a small number of orange-preferring individuals, whereas orange proponents squander their influence on like-minded individuals who have exclusively orane-preferring contacts, or on blue-preferring individuals who have enough blue-preferring contacts to remain unswayed.

surveillance in schools

https://www.edsurge.com/news/2019-10-22-high-tech-surveillance-comes-at-high-cost-to-students-is-it-worth-it

The phrase “school-to-prison pipeline” has long been used to describe how schools respond to disciplinary problems with excessively stringent policies that create prison-like environments and funnel children who don’t fall in line into the criminal justice system. Now, schools are investing in surveillance systems that will likely exacerbate existing disparities.

number of tech companies are capitalizing on the growing market for student surveillance measures as various districts and school leaders commit themselves to preventing acts of violence. Rekor Systems, for instance, recently announced the launch of OnGuard, a program that claims to “advance student safety” by implementing countless surveillance and “threat assessment” mechanisms in and around schools.

While none of these methods have been proven to be effective in deterring violence, similar systems have resulted in diverting resources away from enrichment opportunities, policing school communities to a point where students feel afraid to express themselves, and placing especially dangerous targets on students of color who are already disproportionately mislabeled and punished.ProPublica

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more on surveillance in this IMS blog
http://blog.stcloudstate.edu/ims?s=surveillance

tech in higher ed

https://www.edsurge.com/news/2019-01-02-teaching-with-technology-in-higher-ed-start-with-relationship-building

Pivoting one’s pedagogical focus to relationship-building thus demands a learning process about the self and the students, and there are practical steps an instructor can consider when embarking on this paradigm shift.

1. Provide opportunities for students to reflect.

2. Prepare to learn about yourself and your students.

3. Leverage partners.

4. Provide opportunities for yourself to reflect.

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more on ed technology in this IMS blog
http://blog.stcloudstate.edu/ims?s=educational+technology

news literate


https://www.edsurge.com/news/2019-09-24-the-challenge-of-teaching-news-literacy

Everybody’s talking about deepfakes in 2020, that’s not something we were talking about in 2016, maybe even in 2018.

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more on news literate in this IMS blog
http://blog.stcloudstate.edu/ims?s=news+literate

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