Instagram has done some tweaking of their algorithm which is making competition for visibility on the platform much tougher. According to our Facebook connections, this is a deliberate move to help reduce the spammy and less relevant behavior of certain Instagram accounts.
a great study that analyzed the content performance of Instagram posts when the hashtags are placed in the post compared to when hashtags are placed in the comments.
Including hashtags in the post resulted in 9.84% more Likes and 29.4% more Reach. Placing the hashtags in the comments resulted in 19.3% more comments for some strange reason.
Placing hashtags in the Instagram post resulted in 18% better content performance metrics. While this might seem like a slim margin, you must consider the extra time and steps it would take to go back and remember to add hashtags into your posts’ comments.
It’s tempting right? I mean, you are paying something to do your work for you! Unfortunately, as it may be the easy way out, it could get you in trouble, and by trouble I mean, Instagram might end up deleting or banning your account – and that is probably the last thing you would want to happen.
It may take a big chunk of your time each day, but if you want your account to grow, focus on being genuine, providing value and engaging with your audience in an authentic manner!
Many of these teachers started out as “teacher bloggers,” but most became Insta-famous through Teachers Pay Teachers, an online platform that allows teachers to sell classroom resources they’ve created, such as worksheets and bulletin board decor.
By promoting their Teachers Pay Teachers products on Instagram with hashtags such as #TeachersOfInstagram and #TeacherLife, as well as sharing classroom tips and snapshots, these teachers acquire tens of thousands of followers. Many even exceed the 100,000 follower mark.
The CEO of Teachers Pay Teachers, Adam Freed, told BuzzFeed News the platform “becomes a real living” for many teachers.
With an aesthetic that could be described as “Pinterest-y,” it might be surprising that Instagram seems to have overtaken Pinterest as the place teachers are sharing their designs and ideas.
“With Instagram, it’s really cool because you’re able to direct message the person right away and ask, ‘Hey how did you do this?’ or ‘I have some questions about my classroom!’” said Maloy. “I have new teachers messaging me all of the time. It’s like Pinterest, but it goes a step beyond because you have that collaboration and a way to connect with people.”
In spite of all their success, some of these teachers think about what could happen if the teacher influencer bubble bursts one day. This concern is what keeps some of them in the classroom.
School administrators have largely been supportive too, and many of the teachers said their social media work is seen as proof that they’re passionate, creative, and skilled at their jobs.
The purely episodic nature of Snapchat works to promote timely engagement and audience retention through consistent sharing of snaps. By combining the longevity of your feed posts with the 24-hour duration of your story segments, you can generate urgency while providing consistent and engaging content for your Instagram followers. Bottom line: Snapchat relies on 24-hour stories from users, providing content that is purely episodic and temporary to viewers. Instagram content can be delivered episodically through stories or more permanently through the feed.
#2: How Filters Compare
Snapchat Geofilters for Location-Based Snaps
When you want a customized geofilter to reflect an event or location, Snapchat geofilters will frame your image or video snaps with branding and themes. While large organizations often sponsor geofilters on a bigger scale (think the Olympics or national holidays), Snapchat also lets you create and use your own geofilter.
Snapchat Face-Mapping and Motion Filters for Creative Snaps
Instagram Filters for Various Coloring Effects
Bottom line: Instagram story filters are limited to overall color, contrast, and lighting adjustments. Snapchat filters provide more options for customization, motion, and branding from the filters themselves.
#3: How Hashtags Work
At present, you can use hashtags in your Instagram and Snapchat stories to indicate segment topics or commentary. However, the hashtags don’t provide any functionality for users. In other words, users can’t tap a hashtag to search for that term within the app.
As a result, colleges are rolling out social media accessibility standards and training communications staff members to take advantage of built-in accessibility tools in platforms including YouTube, Facebook and Twitter.
For example, last fall, a blind man filed 50 lawsuits against colleges whose websites he said didn’t work with his screen reader. And on August 21, in Payan v. Los Angeles Community College District, the Federal District Court for the Central District of California ruled that Los Angeles Community College failed to provide a blind student with “meaningful access to his course materials” via MyMathLab, software developed by Pearson, in a timely manner.
California State University at Long Beach, for instance, advises posting main information first and hashtags last to make messages clear for people using screen readers. The University of Minnesota calls for indicating whether hyperlinks point to [AUDIO], [PIC], or [VIDEO]. This summer, leaders at the College of William & Mary held a training workshopfor the institution’s communications staff in response to an Office for Civil Rights investigation.
the type of data: wikipedia. the dangers of learning from wikipedia. how individuals can organize mitigate some of these dangers. wikidata, algorithms.
IBM Watson is using wikipedia by algorythms making sense, AI system
youtube videos debunked of conspiracy theories by using wikipedia.
semantic relatedness, Word2Vec
how does algorithms work: large body of unstructured text. picks specific words
lots of AI learns about the world from wikipedia. the neutral point of view policy. WIkipedia asks editors present as proportionally as possible. Wikipedia biases: 1. gender bias (only 20-30 % are women).
conceptnet. debias along different demographic dimensions.
citations analysis gives also an idea about biases. localness of sources cited in spatial articles. structural biases.
geolocation on Twitter by County. predicting the people living in urban areas. FB wants to push more local news.
danger (biases) #3. wikipedia search results vs wkipedia knowledge panel.
collective action against tech: Reddit, boycott for FB and Instagram.
data labor: what the primary resources this companies have. posts, images, reviews etc.
boycott, data strike (data not being available for algorithms in the future). GDPR in EU – all historical data is like the CA Consumer Privacy Act. One can do data strike without data boycott. general vs homogeneous (group with shared identity) boycott.
the wikipedia SPAM policy is obstructing new editors and that hit communities such as women.
how to access at different levels. methods and methodological concerns. ethical concerns, legal concerns,
tweetdeck for advanced Twitter searches. quoting, likes is relevant, but not enough, sometimes screenshot
social listening platforms: crimson hexagon, parsely, sysomos – not yet academic platforms, tools to setup queries and visualization, but difficult to algorythm, the data samples etc. open sources tools (Urbana, Social Media microscope: SMILE (social media intelligence and learning environment) to collect data from twitter, reddit and within the platform they can query Twitter. create trend analysis, sentiment analysis, Voxgov (subscription service: analyzing political social media)
graduate level and faculty research: accessing SM large scale data web scraping & APIs Twitter APIs. Jason script, Python etc. Gnip Firehose API ($) ; Web SCraper Chrome plugin (easy tool, Pyhon and R created); Twint (Twitter scraper)
Facepager (open source) if not Python or R coder. structure and download the data sets.
TAGS archiving google sheets, uses twitter API. anything older 7 days not avaialble, so harvest every week.
social feed manager (GWUniversity) – Justin Litman with Stanford. Install on server but allows much more.
legal concerns: copyright (public info, but not beyond copyrighted). fair use argument is strong, but cannot publish the data. can analyize under fair use. contracts supercede copyright (terms of service/use) licensed data through library.
methods: sampling concerns tufekci, 2014 questions for sm. SM data is a good set for SM, but other fields? not according to her. hashtag studies: self selection bias. twitter as a model organism: over-represnted data in academic studies.
methodological concerns: scope of access – lack of historical data. mechanics of platform and contenxt: retweets are not necessarily endorsements.
ethical concerns. public info – IRB no informed consent. the right to be forgotten. anonymized data is often still traceable.
table discussion: digital humanities, journalism interested, but too narrow. tools are still difficult to find an operate. context of the visuals. how to spread around variety of majors and classes. controversial events more likely to be deleted.
takedowns, lies and corrosion: what is a librarian to do: trolls, takedown,
development kit circulation. familiarity with the Oculus Rift resulted in lesser reservation. Downturn also.
An experience station. clean up free apps.
question: spherical video, video 360.
safety issues: policies? instructional perspective: curating,WI people: user testing. touch controllers more intuitive then xbox controller. Retail Oculus Rift
app Scatchfab. 3modelviewer. obj or sdl file. Medium, Tiltbrush.
College of Liberal Arts at the U has their VR, 3D print set up.
Penn State (Paul, librarian, kiniseology, anatomy programs), Information Science and Technology. immersive experiences lab for video 360.
CALIPHA part of it is xrlibraries. libraries equal education. content provider LifeLiqe STEM library of AR and VR objects. https://www.lifeliqe.com/
THERE’S A MEME on Instagram, circulated by a group called “Born Liberal.” “Born Liberal” was a creation of the Internet Research Agency, the Russian propaganda wing
Conversations around the IRA’s operations traditionally have focused on Facebook and Twitter, but like any hip millennial, the IRA was actually most obsessive about Instagram.
the IRA deployed 3,841 accounts, including several personas that “regularly played hashtag games.” That approach paid off; 1.4 million people engaged with the tweets, leading to nearly 73 million engagements. Most of this work was focused on news, while on Facebook and Instagram, the Russians prioritized “deeper relationships,” according to the researchers. On Facebook, the IRA notched a total of 3.3 million page followers, who engaged with their politically divisive content 76.5 million times. Russia’s most popular pages targeted the right wing and the black community. The trolls also knew their audiences; they deployed Pepe memes at pages intended for right-leaning millennials, but kept them away from posts directed at older conservative Facebook users. Not every attempt was a hit; while 33 of the 81 IRA Facebook pages had over 1,000 followers, dozens had none at all.
The report also points out new links between the IRA’s pages and Wikileaks, which helped disseminate hacked emails from Clinton campaign manager John Podesta
“While many people think of memes as “cat pictures with words,” the Defense Department and DARPA have studied them for years as a powerful tool of cultural influence, capable of reinforcing or even changing values and behavior.
“over the past five years, disinformation has evolved from a nuisance into high-stakes information war.” And yet, rather than fighting back effectively, Americans are battling each other over what to do about it.
A year after the Meme Warfare Center proposal was published, DARPA, the Pentagon agency that develops new military technology, commissioned a four-year study of memetics. The research was led by Dr. Robert Finkelstein, founder of the Robotic Technology Institute, and an academic with a background in physics and cybernetics.
Finkelstein’s study of “Military Memetics” centered on a basic problem in the field, determining “whether memetics can be established as a science with the ability to explain and predict phenomena.” It still had to be proved, in other words, that memes were actual components of reality and not just a nifty concept with great marketing.