#1: Adjust Your Content Mix
On Facebook, go to Insights > Posts > Post Types to review the engagement by the type of content you posted (post, link, image, video). On Twitter, you can see a snapshot of each post you’ve made by going to Settings > Analytics > Tweets.
#2: Fine-tune Your Posting Schedule
On Facebook, go to Insights > Posts > When Your Fans Are Online. For Twitter, you can use a tool such a Tweriod to find out when the bulk of your followers are online.
#3: Inform Your Messaging
On Facebook, open the Ads Manager and go to Audience Insights. On Twitter, you can check your audience data by going to Settings > Twitter Ads > Analytics > Audience Insights.
#4: Boost Your Engagement
On Twitter, go to Settings > Analytics > Tweets and take a look at which post topics get the most engagement. On Facebook, go to Insights > Posts > Post Types and then switch the engagement metrics in Facebook to show reactions, comments, and shares for each post rather than post clicks or general engagement.
more on social media analytics in this blog
Strategic Planning for Social Media in Libraries (2012)
Sarah K. Steiner
p. 1 definition of social media for libraries
six primarytypes exist: “collaborative projects, blogs, content communities, social networking sites,” and two types of virtual worlds: “virtual game worlds, which ask users to follow the rules of the game, and virtual social worlds, wherein users can behave without rules in almost any way they like” (Kaplan and Haenlein, 2010: 59)
it is not that I disagree with such definition, but i wish there was a “door” mentioning “flexibility” and “necessity to reassess” what social media is every year, 3 year, 5 years
p. 2 definition what is strategic planning
- identify the needs of your target audiences,
- identify the ways in which you can meet those needs, and
- identify ways to respond confidently and proactively to changesin those needs.
- Where the organization is
- Where the organization should go
- How the organization can get there (McNamara, 2011)
It must be:
- Based on data
- Regularly cared for
covers and confirms my notes to the SCSU library use of its social media:
p. 83 ask uncomfortable questions
in planning, we must be prepared to ask, critically consider and answer questions that make us uncomfortable (not only that I was not let to ask questions, I was ousted from any body that was making decisions regarding social media. I was openly opposed and rebuked for asking why 3 reference librarians will keep the passwords to the account for the library SM)
p. 83 Communicate
If your team communicates honestly and thoroughly, then positive feelings and advocates for your social media endeavors will grow. In the span of 6 months, I had to ask three times where are the notes of the social media committee kept and eventually i will receive an answer, which in it nebulous and apologetic form was practically not an answer.
p. 83 Don’t rush to conclusions
Satisficing often works, but it can also lead to conclusions that are less then optimal.
In the fall of 2013, I had to fight an overwhelming majority opposing my proposal that social media needs to include student representation, since SM is about dialog, not broadcasting (see page 86) and the current staff and faculty see SM as another form of broadcasting. In the span of six months, by the summer of 2014 library staff and faculty had fallen in the other extreme, letting one single student run all library SM. That student did/could not have understanding of the scope and goals of the library resulting in satisficing.
p. 84 aim for consensus, but don’t require it
Consensus was the leitmotiv of the dean; it failed in general, and it failed in SM.
p. 84 get an external reviewer
p. 84 value and celebrate small success
a strategic plan will be realized through a series of small actions, not one or two pivotal plots.
p. 84 create accountability
p. 86 maintain a consistent tone and brand
visual and tone based consistency.
This library DOES maintain consistency by posting Instagram pictures of people covering their faces with books, so part of their face compliments a face on cover of books. It is done by other libraries and it would have been cute and original if not overdone. If the SM activities of a library consist mostly of such activities then the “branding” part definitely is hurt. Yet, the faculty in this library vehemently adhere to “let’s see what other libraries are doing,” but does not understand that it needs further conceptualizing to figure out how to transform into “brand.”
p. 86 capitalize on the strengths of social media
“in many cases, business and libraries use SM exactly as they use their websites: to push content.
This has been the main criticism from the start: the three reference librarians holding the passwords to the SM account were using Facebook as a announcement board and kept dormant the other accounts. The resolution of the library faculty who was called to arbitrate the argument with these three librarian: “I don’t understand very well Facebook.” The interim dean, who, subsequently had to resolve this dispute: “I don’t use Facebook.”
p. 87 Metrics
Analyze and tweak plan
measuring success is about maximizing time and efforts, not about laying blame for shortcomings or failures.
this applies to daily tasks and responsibilities and shuffling time, but when the organization does not have a clear overarching goal and clear strategy how to achieve it, then issues must be raised up. which leads to:
p. 92 Plan for conversation
the inclusion of conversation. incorporate your patrons as primary content creators (not appointing just a single student worker to broadcast)
p. 92 use SM as an assessment or feedback tool
p. 93 plan to monitor your brand
if you decide to start watching these types of mentions, you’ll want to consider whether you’ll adopt a passive or an active role in responding to them.
Social media strategy 2013-2014
National Library Australia
10 Social Media Marketing Tips for Libraries,February 12, 2013
Social Media: Libraries Are Posting, but Is Anyone Listening?By May 7, 2013
Strategic Planning for Social Media in Libraries: The Case of Zimbabwe
Learn data mining languages: R, Python and SQL
– Fantastic set of interactive tutorials for learning different languages. Their SQL tutorial is second to none. You’ll learn how to manipulate data in MySQL, SQL Server, Access, Oracle, Sybase, DB2 and other database systems.
– The best way to learn is to work towards a goal. That’s what this helpful blog series is all about. You’ll learn SQL from scratch by following along with a simple, but common, data analysis scenario.
– This course is recommended for the intermediate SQL-er who wants to brush up on his/her skills. It’s a series of 10 challenges coupled with forums and external videos to help you improve your SQL knowledge and understanding of the underlying principles.
– Created by Code School, this interactive online tutorial system is designed to step you through R for statistics and data modeling. As you work through their seven modules, you’ll earn badges to track your progress helping you to stay on track.
– If you’re a complete R novice, try Lead’s introduction to R. In their 1 hour 30 min course, they’ll cover installation, basic usage, common functions, data structures, and data types. They’ll even set you up with your own development environment in RStudio.
– Once you’ve mastered the basics of R, bookmark this page. It’s a fantastically comprehensive style guide to using R. We should all strive to write beautiful code, and this resource (based on Google’s R style guide) is your key to that ideal.
– Learn R in R – a radical idea certainly. But that’s exactly what Swirl does. They’ll interactively teach you how to program in R and do some basic data science at your own pace. Right in the R console.
Python for beginners
– The Python website actually has a pretty comprehensive and easy-to-follow set of tutorials. You can learn everything from installation to complex analyzes. It also gives you access to the Python community, who will be happy to answer your questions.
– A complete list of Python tutorials to take you from zero to Python hero. There are tutorials for beginners, intermediate and advanced learners.
Read all about it: data mining books
Data Jujitsu: The Art of Turning Data into Product
– This free book by DJ Patil gives you a brief introduction to the complexity of data problems and how to approach them. He gives nice, understandable examples that cover the most important thought processes of data mining. It’s a great book for beginners but still interesting to the data mining expert. Plus, it’s free!
Data Mining: Concepts and Techniques
– The third (and most recent) edition will give you an understanding of the theory and practice of discovering patterns in large data sets. Each chapter is a stand-alone guide to a particular topic, making it a good resource if you’re not into reading in sequence or you want to know about a particular topic.
Mining of Massive Datasets
– Based on the Stanford Computer Science course, this book is often sighted by data scientists as one of the most helpful resources around. It’s designed at the undergraduate level with no formal prerequisites. It’s the next best thing to actually going to Stanford!
Hadoop: The Definitive Guide
– As a data scientist, you will undoubtedly be asked about Hadoop. So you’d better know how it works. This comprehensive guide will teach you how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. Make sure you get the most recent addition to keep up with this fast-changing service.
Online learning: data mining webinars and courses
– Learn data mining from the comfort of your home with DataCamp’s online courses. They have free courses on R, Statistics, Data Manipulation, Dynamic Reporting, Large Data Sets and much more.
– Coursera brings you all the best University courses straight to your computer. Their online classes will teach you the fundamentals of interpreting data, performing analyzes and communicating insights. They have topics for beginners and advanced learners in Data Analysis, Machine Learning, Probability and Statistics and more.
– With a range of free and pay for data mining courses, you’re sure to find something you like on Udemy no matter your level. There are 395 in the area of data mining! All their courses are uploaded by other Udemy users meaning quality can fluctuate so make sure you read the reviews.
– These courses are handily organized into “Paths” based on the technology you want to learn. You can do everything from build a foundation in Git to take control of a data layer in SQL. Their engaging online videos will take you step-by-step through each lesson and their challenges will let you practice what you’ve learned in a controlled environment.
– Master a new skill or programming language with Udacity’s unique series of online courses and projects. Each class is developed by a Silicon Valley tech giant, so you know what your learning will be directly applicable to the real world.
– Learn from experts in web design, coding, business and more. The video tutorials from Treehouse will teach you the basics and their quizzes and coding challenges will ensure the information sticks. And their UI is pretty easy on the eyes.
Learn from the best: top data miners to follow
– Chief Data Scientist at MailChimp and author of Data Smart, John is worth a follow for his witty yet poignant tweets on data science.
– Author and Chief Data Scientist at The White House OSTP, DJ tweets everything you’ve ever wanted to know about data in politics.
– He’s Editor-in-Chief of FiveThirtyEight, a blog that uses data to analyze news stories in Politics, Sports, and Current Events.
– As the Chief Data Scientist at Baidu, Andrew is responsible for some of the most groundbreaking developments in Machine Learning and Data Science.
– He might know pretty much everything there is to know about Big Data.
– He’s the author of popular data science blog KDNuggets
, the leading newsletter on data mining and knowledge discovery.
– As the Co-founder of OKCupid, Christian has access to one of the most unique datasets on the planet and he uses it to give fascinating insight into human nature, love, and relationships
– He’s contributed to a number of data blogs and authored his own book on Applied Predictive Analytics. At the moment, Dean is Chief Data Scientist at SmarterHQ
Practice what you’ve learned: data mining competitions
– This is the ultimate data mining competition. The world’s biggest corporations offer big prizes for solving their toughest data problems.
– The best way to learn is to teach. Stackoverflow offers the perfect forum for you to prove your data mining know-how by answering fellow enthusiast’s questions.
– With a live leaderboard and interactive participation, TunedIT offers a great platform to flex your data mining muscles.
– You can find a number of nonprofit data mining challenges on DataDriven. All of your mining efforts will go towards a good cause.
– Another great site to answer questions on just about everything. There are plenty of curious data lovers on there asking for help with data mining and data science.
Meet your fellow data miner: social networks, groups and meetups
– As with many social media platforms, Facebook is a great place to meet and interact with people who have similar interests. There are a number of very active data mining groups you can join.
– If you’re looking for data mining experts in a particular field, look no further than LinkedIn. There are hundreds of data mining groups ranging from the generic to the hyper-specific. In short, there’s sure to be something for everyone.
– Want to meet your fellow data miners in person? Attend a meetup! Just search for data mining in your city and you’re sure to find an awesome group near you.
8 fantastic examples of data storytelling
8 fantastic examples of data storytelling
Data storytelling is the realization of great data visualization. We’re seeing data that’s been analyzed well and presented in a way that someone who’s never even heard of data science can get it.
Google’s Cole Nussbaumer provides a friendly reminder of what data storytelling actually is, it’s straightforward, strategic, elegant, and simple.
more on text and data mining in this IMS blog
with the hope that you keep that Facebook account, so you can view the video:
more on contemplative practices in this IMS blog
Fathom, underwater drone
Recreational drone can fire projectiles or grab and release objects
and a good point made in one of the comments:
It starts like this, with nice feel good video and music then 5 years later your neighbor is mad at you with one of this
Students, teachers, and organizations will join together online to celebrate and demonstrate global collaboration on September 15, 2016. On Global Collaboration Day, educators and professionals from around the world will host connective projects and events and invite public participation. This event is brought to you by VIF International Education, Google for Education, iEARN-USA and Edmodo.
The primary goals of this 24-hour, worldwide event are to:
- demonstrate the power of global connectivity in classrooms, schools, institutions of informal learning and universities around the world
- introduce others to the collaborative tools, resources and projects that are available to educators today
- to focus attention on the need for developing globally competent students and teachers throughout the world
Global Collaboration Day will take place on September 15 in participant time zones. Classrooms, schools, and organizations will design and host engaging online activities for others to join. Events will range from mystery location calls to professional development events to interviews with experts. All events will be collated in an online calendar viewable in participants’ individual time zones. Participants will be connected on Twitter via the hashtag #globaled16.
An optional new activity this year will be the Great Global Project Challenge. Between now and October 1, 2016, global educators will design collaborative projects using a variety of platforms in which other students and teachers may participate during the course of the 2016-2017 school year. The objective is to create and present as many globally connective projects for students and educators as possible. The final deadline for submissions into our project directory is October 1, but participants are also encouraged to do an introductory activity for their project on Global Collaboration Day as well.
Global Collaboration Day is a project of the Global Education Conference Network, a free online virtual conference that takes place every November during International Education Week. GCD, along with Global Education Day at ISTE and Global Leadership Week, are events designed to connect educators and keep global conversations going year round.
For more information about Global Collaboration Day, please visit our main web site. A digital flyer is also available for distribution.
Follow us on social media:
Help us spread the word. Here are some sample Tweets:
- Join us for Global Collaboration Day! Details here: http://bit.ly/2016GCD #globaled16
- YOUR ORG’S TWITTER HANDLE is pleased to partner with @GlobalEdCon and educators around the globe for Global Collaboration Day: http://bit.ly/2016GCD
- Are you an education leader? Inspire global collaboration on Global Collaboration Day 9/15. http://bit.ly/2016GCD #globaled16
- Learn more about participating in the Global Collaboration Day celebration: http://bit.ly/2016GCD #globaled16
- Project hosts are sought for Global Collaboration Day. Details here: http://bit.ly/2016GCD #globaled16
Logos and Badges for Participants, Hosts, Partners and Sponsors are located here: http://bit.ly/gcdimages
Interested in serving as an outreach partner?
Send an email to Lucy Gray (firstname.lastname@example.org) indicating your interest. Include information on how you can help us get the word out to networks with 5000 members or more.
The biggest threat to democracy? Your social media feed
Polarization as a driver of populism
People who have long entertained right-wing populist ideas, but were never confident enough to voice them openly, are now in a position to connect to like-minded others online and use the internet as a megaphone for their opinions.
The resulting echo chambers tend to amplify and reinforce our existing opinions, which is dysfunctional for a healthy democratic discourse. And while social media platforms like Facebook and Twitter generally have the power to expose us to politically diverse opinions, research suggests that the filter bubbles they sometimes create are, in fact, exacerbated by the platforms’ personalization algorithms, which are based on our social networks and our previously expressed ideas. This means that instead of creating an ideal type of a digitally mediated “public agora”, which would allow citizens to voice their concerns and share their hopes, the internet has actually increased conflict and ideological segregation between opposing views, granting a disproportionate amount of clout to the most extreme opinions.
The disintegration of the general will
In political philosophy, the very idea of democracy is based on the principal of the general will, which was proposed by Jean-Jacques Rousseau in the 18th century. Rousseau envisioned that a society needs to be governed by a democratic body that acts according to the imperative will of the people as a whole.
There can be no doubt that a new form of digitally mediated politics is a crucial component of the Fourth Industrial Revolution: the internet is already used for bottom-up agenda-setting, empowering citizens to speak up in a networked public sphere, and pushing the boundaries of the size, sophistication and scope of collective action. In particular, social media has changed the nature of political campaigning and will continue to play an important role in future elections and political campaigns around the world.
more on the impact of technology on democracy in this IMS blog:
the topics of privacy pertaining technology is becoming ubiquitous.
If you feel that the content of your class material can benefit of such discussions, please let us know.
Please have some titles, which can help you brainstorm topics for discussions in your classes:
Power, Privacy, and the Internet
Privacy groups slam Department of Homeland Security social media proposal
FBI quietly changes its privacy rules for accessing NSA data on Americans
Facebook canceled a student’s internship after he highlighted a massive privacy issue
Teenagers, The Internet, And Privacy
Online privacy: It’s time for a new security paradigm
On social media, privacy, etc.
Hacking the Future: Privacy, Identity, and Anonymity On the Web
Are We Puppets in a Wired World?
How Teens Deal With Privacy and Mobile Apps
If you seek more tangible, hands-on assistance with similar and/or any topics regarding technology, please do not hesitate to contact us.