4 things you should know about digital portfolios
BY MATT RENWICK December 6th, 2018
1. Portfolio assessment is not new to education.
Digital portfolios came into prominence in the 1990s, around the time when computers became commonplace in classrooms. David Niguidula, a pioneer in this alternative form of assessment, coined the term “digital student portfolios.” He defines them as “an online collection of student work for a particular purpose and audience.” Digital portfolios cut the distance between student thinking and evidence of learning. There is no longer a need to represent understanding through a score or a grade.
2. . The best digital portfolios are process oriented.
A myth in education is that we should only showcase student’s best artifacts of learning. We might think of an artist’s body of work when considering digital portfolios as an alternative assessment.
3. It’s not a digital portfolio unless students are in charge.
4. Digital student portfolios are about more than just assessment.
The best digital portfolio processes do more than serve as an evaluation tool. They help the student develop a stronger sense of themselves as a learner and see their growth over time, such as through a series of drafts posted toward a final project and presentation.
more on eportoflio in this IMS blog
LinkedIn launches its own Snapchat Stories. Here’s why it shouldn’t have
No app is safe from the Stories plague
LinkedIn confirms to TechCrunch that it plans to build Stories for more sets of users, but first it’s launching “Student Voices” just for university students in the U.S. The feature appears atop the LinkedIn home screen and lets students post short videos to their Campus Playlist.
My note: Since 2012, I unsuccessfully tried to convince two library directors to approve similar video “channel” on the SCSU library web page with students’ testimonies and ability for students to comment / provide feedback regarding the issues raised in the videos. Can you guess the outcome of such proposal?
A LinkedIn spokesperson tells us the motive behind the feature is to get students sharing their academic experiences like internships, career fairs and class projects that they’d want to show off to recruiters as part of their personal brand.
more on LinkedIn in this IMS blog
Using Social Media for Research – November 16
12:00 – 1:00 p.m.
1314 Social Sciences
Professor Lee-Ann Kastman Breuch (Writing Studies) and Michael Beckstrand (Mixed-Methods Research Associate, LATIS) will discuss how to retrieve, prepare, and analyze social media data for research projects. Using two case studies, Lee-Ann will share examples of a grounded theory analysis of blog, Twitter, and Facebook data. Michael will speak about the technical aspects of retrieving and managing social media data. Pizza will be provided. Learn more and register here.
This event is part of the 2018-19 Research Development Friday Roundtable Series organized by the CLA Research Development Team.
Social media and Data Visualization
Number of participants: 10
Duration: 2 days
All workshop sessions will take place 9:00 a.m. – noon, with lab time and office hours 1:30 -3:30 p.m.
Tuesday, August 22
- Introduction to web-scraping
- Introduction to APIs
- Work & get help on your own projects
Wed, August 23
- Introduction to OpenRefine
- Cleaning social media data with OpenRefine
- Analyzing/Visualizing the social media data
more on social media for research in this IMS blog
Russian Influence Operations on Twitter
Summary This short paper lays out an attempt to measure how much activity from Russian state-operated accounts released in the dataset made available by Twitter in October 2018 was targeted at the United Kingdom. Finding UK-related Tweets is not an easy task. By applying a combination of geographic inference, keyword analysis and classification by algorithm, we identified UK-related Tweets sent by these accounts and subjected them to further qualitative and quantitative analytic techniques.
There were three phases in Russian influence operations : under-the-radar account building, minor Brexit vote visibility, and larger-scale visibility during the London terror attacks.
Russian influence operations linked to the UK were most visible when discussing Islam . Tweets discussing Islam over the period of terror attacks between March and June 2017 were retweeted 25 times more often than their other messages.
The most widely-followed and visible troll account, @TEN_GOP, shared 109 Tweets related to the UK. Of these, 60 percent were related to Islam .
The topology of tweet activity underlines the vulnerability of social media users to disinformation in the wake of a tragedy or outrage.
Focus on the UK was a minor part of wider influence operations in this data . Of the nine million Tweets released by Twitter, 3.1 million were in English (34 percent). Of these 3.1 million, we estimate 83 thousand were in some way linked to the UK (2.7%). Those Tweets were shared 222 thousand times. It is plausible we are therefore seeing how the UK was caught up in Russian operations against the US .
Influence operations captured in this data show attempts to falsely amplify other news sources and to take part in conversations around Islam , and rarely show attempts to spread ‘fake news’ or influence at an electoral level.
On 17 October 2018, Twitter released data about 9 million tweets from 3,841 blocked accounts affiliated with the Internet Research Agency (IRA) – a Russian organisation founded in 2013 and based in St Petersburg, accused of using social media platforms to push pro-Kremlin propaganda and influence nation states beyond their borders, as well as being tasked with spreading pro-Kremlin messaging in Russia. It is one of the first major datasets linked to state-operated accounts engaging in influence operations released by a social media platform.
This report outlines the ways in which accounts linked to the Russian Internet ResearchAgency (IRA) carried out influence operations on social media and the ways their operationsintersected with the UK.The UK plays a reasonably small part in the wider context of this data. We see two possibleexplanations: either influence operations were primarily targeted at the US and British Twitterusers were impacted as collate, or this dataset is limited to US-focused operations whereevents in the UK were highlighted in an attempt to impact US public, rather than a concertedeffort against the UK. It is plausible that such efforts al so existed but are not reflected inthis dataset.Nevertheless, the data offers a highly useful window into how Russian influence operationsare carried out, as well as highlighting the moments when we might be most vulnerable tothem.Between 2011 and 2016, these state-operated accounts were camouflaged. Through manualand automated methods, they were able to quietly build up the trappings of an active andwell-followed Twitter account before eventually pivoting into attempts to influence the widerTwitter ecosystem. Their methods included engaging in unrelated and innocuous topics ofconversation, often through automated methods, and through sharing and engaging withother, more mainstream sources of news.Although this data shows levels of electoral and party-political influence operations to berelatively low, the day of the Brexit referendum results showed how messaging originatingfrom Russian state-controlled accounts might come to be visible – on June 24th 2016, we believe UK Twitter users discussing the Brexit Vote would have encountered messages originating from these accounts.As early as 2014, however, influence operations began taking part in conversations aroundIslam, and these accounts came to the fore during the three months of terror attacks thattook place between March and June 2017. In the immediate wake of these attacks, messagesrelated to Islam and circulated by Russian state-operated Twitter accounts were widelyshared, and would likely have been visible in the UK.The dataset released by Twitter begins to answer some questions about attempts by a foreignstate to interfere in British affairs online. It is notable that overt political or electoralinterference is poorly represented in this dataset: rather, we see attempts at stirring societaldivision, particularly around Islam in the UK, as the messages that resonated the most overthe period.What is perhaps most interesting about this moment is its portrayal of when we as socialmedia users are most vulnerable to the kinds of messages circulated by those looking toinfluence us. In the immediate aftermath of terror attacks, the data suggests, social mediausers were more receptive to this kind of messaging than at any other time.
It is clear that hostile states have identified the growth of online news and social media as aweak spot, and that significant effort has gone into attempting to exploit new media toinfluence its users. Understanding the ways in which these platforms have been used tospread division is an important first step to fighting it.Nevertheless, it is clear that this dataset provides just one window into the ways in whichforeign states have attempted to use online platforms as part of wider information warfare
and influence campaigns. We hope that other platforms will follow Twitter’s lead and release
similar datasets and encourage their users to proactively tackle those who would abuse theirplatforms.
more on cybersecurity in this IMS blog
The three types of WhatsApp users getting Brazil’s Jair Bolsonaro elected
Facebook’s WhatsApp flooded with fake news in Brazil election
Viral WhatsApp Hoaxes Are India’s Own Fake News Crisis
Misinformation and political propaganda in the world’s largest democracy often go undetected — until they have brutal real-world impact.
WhatsApp fights fake news with Indian newspaper ads
The push follows the lynching of five men over fake messages.
Xu Zhang. (2017). The Quality of Virtual Communities: A Case Study of Chinese Overseas Students in WeChat Groups. Global Studies Journal
(3), 19–26. https://doi.org/10.18848/1835-4432/CGP/v10i03/19-26
“Netnography” has been developed for online community researchers. It is “net” plus “ethnography,” which is based on the traditional ethnography and combines with the qualitative analysis for online interactive contents forms of virtual community members. The aim of doing netnographic research is to study the subculture, interactive process and characteristics of collective behaviors of online communities (Kozinets 2009). Follow the development of Internet technology, the web–based method is more convenient and cost–effect in data collection. Members in virtual groups create a large number of interactive texts, pictures, network expressions and other original information over time, which provides an extremely rich database to researchers. Moreover, from the data collection’s point of view, this online observation method will not interfere with the whole research process, which is better than questionnaires and quantitative modeling (Moisander and Valtonen 2006). Additionally, Kozinets (2009) also pointed that netnogrpahy emphasize on the research background, observers not only focus on the text during communications but also need to pay attention to the characteristics of language, history, meaning and communication types. Even parse fonts, symbols, images and photo data. These content of studies are significant in social communication, which is called “Cultural Artifact.” On the other hand, netnography is based on traditional ethnography as a methodology; therefore it inherits the research processes of ethnographic method. Kozients (2009) reinterpreted these procedures for netnography as Firstly, to determine the research target and understand its cultural characteristics; Secondly, to collect and analyze information; Thirdly, to ensure the credibility of interpretation; Fourthly, pay attention to research ethics; Lastly, to obtain respondents feedbacks. To make my research adapting to this guidelines, I make my research process as 1. To target on Plymouth Chinese overseas students and to explain the Chinese guanxi; 2. To collect and analyze data through the existing WeChat group created by Plymouth Chinese Students and Scholars Association (CSSA); 3. To confirm the identity of key influencers in this virtual group; 4. To get feedbacks from respondent as much as possible.
How to Easily Design Social Media Images: 4 Free Tools
Andrew Kunesh October 3, 2018 https://www.socialmediaexaminer.com/social-media-images-free-tools
Preview Text Styles With One Touch via Adobe Spark
- Adobe Spark is part of Adobe’s suite of creative products, bringing social media image and video creation to the web.
remove the Adobe Spark watermark with a paid Adobe Spark plan or Creative Cloud subscription, both starting at $9.99 a month.
Design Basic Social Media Images Quickly With Pablo
Pablo by Buffer is a no-frills online image editor that lets you make basic social media images in seconds. So while it doesn’t have some of the features of other image editors on this list, it works in a pinch. This tool is free to use without registration, making it perfect for when you or your team needs to create a quick image. My note: not on mobiles yet, only desktop
Design Automatically Resizable Social Media Images With Snappa
Snappa is a user-friendly online image maker that has templates for every social media network. In addition to social post templates, it offers banner, story, and infographic templates. This makes Snappa your one-stop shop for creating all sorts of social media content.
- Add Simple Data Visualization Charts to Social Media Images in CanvaCanva is a free online image editor with a huge library of free templates and royalty-free images. The app has built-in templates for all of the major social networks, and you can even post directly to your social media accounts from the app.
more on social media images in this IMS blog
Parallel running of two social media from different countries: WeChat and blog for international students
Our work with Chinese students from the Confucius Institute (CI) at St. Cloud State University (SCSU) shed light on an interesting development: in the last several years, the popular Chinese social media platform WeChat dominates the social life of Chinese people, Chinese students in particular.
WeChat, like WhatsApp in Europe, Vkontakte in Russia, Weibo in China, or before its 2014 Orkut in Brazil (http://blog.stcloudstate.edu/ims/2014/07/05/social-media-orkut-the-and-of-an-era/ seeks to create its own users’ momentum, and no differently from Facebook, expand that membership momentum from the host country to a global dominance (http://blog.stcloudstate.edu/ims/2017/08/06/psychology-of-social-networks/; more citation comes here).
Based on the WeChat affinity of the Chinese students at the SCSU CI program, the program organizers faced difficulty applying other social media platforms, as part of the curricula of the host country. Namely, blog, as one of the widely used SM platform for creative writing (citation comes here), was contemplated as a SM platform for the Chinese students to journal their experience at the SCSU CI program. Since WeChat behaves rather like Facebook and Snapchat, the lack of opportunity to utilize widely available platform for rather lengthy narration (versus SMS/texting abilitis of Twitter and WeChat) convince the SCSU CI program organizers to seek the buy in by Chinese students into the blog initiative.
Pang (2018) builds a theory based on Ellison (2007) theory of “maintained social capital,” namely the ability of individuals to maintain values of social ties when geographically disconnected. Ping (2018) further narrows her research on Chinese students in Germany using Li and Chen (2014) findings about Ellison’s theory on students in a foreign environment and the necessity for these students to build a new circle of friends in the host country. According to Basilisco an Cha (2015), such environment was provided for Filipino students by using Facebook and Twitter.
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(1), 25–43. https://doi.org/10.1080/17513057.2016.1235222
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