Showing posts with label technologies. Show all posts
Showing posts with label technologies. Show all posts

Thursday, 5 February 2015

Picking a social media platform for research - our first Twitter chat of 2015


Missed out? Here’s the twitter feed from #NSMNSS chat on how to pick a social media platform in research

See below for the twitter feed from our first tweetchat of 2015 (Tues 3rd Feb) all about how to pick a social media platform in research.  Scroll to the bottom and work your way up to follow the conversation in the order it occurred. 
 
A summary of the 7 questions posed to those taking part is included below:
  • Q1: What is a social media platform? #NSMNSS
  • Q2: Which social media platforms are you using, or would like to use, in research? #NSMNSS
  • Q3: Which platforms are you using to get data? #NSMNSS
  • Q4: Do certain platforms lend themselves more to quantitative or qualitative approaches? 'Big data', 'small data'? #NSMNSS
  • Q5: (from @jess1ecat) What difference is there in researching public data like Twitter stream cf. to group wikis & forums? #NSMNSS
  • Q6: How do you handle data protection & ethical issues on different platforms? #NSMNSS
  • Q7 How do we attend to our own online identities & use of social media platforms? #NSMNSS




Thank you to those who joined us for the chat, it was an invaluable discussion. We hope you can join us for the next chat on Tues 3rd March 2015 5pm (UK time). All welcome! The voting poll to choose a discussion topic is here.

Thursday, 15 May 2014

Vlogging: Video interview about Dhiraj Murthy’s book “Twitter: Social Communication in the Twitter Age”


By Barrie Schooling, student in the MA in Social Media at the University of Westminster

Watch the video interview here: https://www.youtube.com/watch?v=N3u4CyVStk4

Google ‘Twitter book review’ and you’ll get reviews of 1,000 page tomes reduced to 140 characters, for example “The Unbearable Lightness of Being - Beautiful and thought provoking novel of love, obsession, lust and oppression". This sort of activity, indeed every sort of activity on Twitter from the profound to the banal are the subject of a book called ‘Twitter: Social Communication in the Twitter Age’ by Dhiraj Murthy.

Having recently written a review of the book I arranged to interview Dhiraj in his Goldsmiths lab and chat to him a bit more about his work and to ask questions that might help to me critically review his work.

In ‘Twitter. Social communication in the Twitter age’ Dhiraj Murthy discusses the platform as it gives ‘ordinary’ people a medium to publish ‘user-generated “news/updates”, Twitter is a ‘social media’ where the ‘social’ is derived from the content being created by users rather than a ‘traditional’ media outlet.

Traditional media content is determined by the producer whereas the process is more democratic in Twitter. Murthy identifies ‘whoever is considered to be an expert or simply worthy of being listened to is potentially determined by consumers rather than producers’. Users can choose what information they wish to receive through the accounts they follow – ‘they can choose from a variety of sources: traditional media, individual commentators, friends, leaders in an occupational field’.

Murthy explores the notion of the ‘global village’ and other’s who see Twitter as the realisation of the global village, for example ‘fashion enthusiasts can interact with fashionistas in London and Paris, regardless of where they live’.

On one hand Twitter ‘can be thought of as a megaphone that makes public the voices/conversations of any individual or entity’ but yet if the voices ‘reflect influence already present in traditional media’ then it isn’t truly a democratizing technology merely a different medium for the same messages. Murthy presents an ‘event society’ but given that these ‘trending topics’ or ‘events’ can often be a mixture of a major news story alongside a celebrity story he questions what constitutes an event? A major political rebellion is undoubtedly an ‘event’ but is what your colleague had for breakfast?

Murthy observes many changes to traditional journalism, from Twitter adding to journalists’ ‘source mix’ to historically impartial journalists giving personal viewpoints via Twitter to the idea of ‘crowdsourcing’ and he gives examples like users looking through the great volume of MP’s expenses for discrepancies.

The ‘citizen journalist’ is presented through coverage of the Mumbai bombings in 2008 and the US Airways flight that downed in the Hudson River in 2009, both of which were first reported via Twitter. Although the ‘citizen journalist’ has in the aforementioned cases been the first to report on the story Murthy presents a case for the traditional news media still being the main reference point for verification of the story.

Throughout the book Murthy is careful not to over- or under-credit Twitter’s importance to the subject at hand, be it in saving lives following a disaster. This chapter on Activism uses statistics to debunk a number of myths about the role of Twitter in Arab Spring uprisings and the so-called ‘Twitter Revolution’.

Whilst not entirely convinced about ‘revolutions’ happening as a direct result of Twitter activity Murthy does constantly note social changes arising as a result of its usage and the chapter ‘Twitter and Health’ provides one such example. Throughout the chapter we are given examples of changes (and limitations) in people’s medical advice and opinion being shared via Twitter, to new support groups forming via Twitter or to the use of hashtags to filter the usually like-minded into the similarly-diagnosed.

I’d like to thank Dhiraj for allowing me to interview him and I hope you enjoy listening to his opinions on the subject.

Wednesday, 5 March 2014

Keeping up with technology: What is “scientific lag” and can we proactively reduce it?

In 2011 then Census Director Robert Groves wrote on the Census Director’s Blog about the burgeoning volume of “organic data”—data that, as opposed to “designed data,” have no meaning until they are used (surveys are a primary example of the latter). He noted that finding ways to combine these two types of data to increase the “information-to-data ratio” was a challenge, but also represented the future of surveys. Using terms identified as “big data descriptors” in Groves’ piece, as well as a few other terms I think qualify, I put together the graph below to show the number of AAPOR presentation titles between 2010 and 2013 that contain a big data descriptor.1,2
big data descriptors in AAPOR presentation titles 2010-2013
One take away is the increased interest researchers have shown in big data over the past few years. An equally important lesson is that almost all of the attention big data has received from AAPOR members—at least measured by the number of presentations they’ve done—has been on social networking sites (SNS). I found only one presentation in the past four AAPOR conference programs that contained a big data descriptor for a non-social media topic—a demonstration in 2012 by Ben Waber on the use of wearable sensors for measuring behavior.
To some extent this is explained by scientific lag. Just like there is cultural lag—the time between the emergence of a new technology and when culture catches up—there is a lag time between when consumers adopt technologies and when our research methodologies catch up (i.e., scientific lag = cultural lag + time until research methodologies using those technologies are implemented). And, technologies often don’t remain static, but rather evolve making it a continuous game of catchup (development) for research methodologists. I’ll go into more detail about this in a presentation I’m giving at the AAPOR conference this year, but one quick example from the annals of survey research history is the development of computer-assisted telephone interviewing (CATI). While telephone exchanges had existed for almost a century and programmable computers emerged in the 1940s, it took until 1971 for CATI systems to be developed by market researchers, another five years for academic researchers to begin using it, and the federal government another seven years to implement its use. Certainly, cultural lag played a role. It took years for enough households to have telephones for probability based telephone sampling to make sense. In addition, it took time for the programmable computer to develop into a device usable for this purpose. But, it also took researchers time to figure out such a system was possible and the value it presented.
Now, let’s fast forward a bit. In 1997, one of the first SNSs, sixdegrees.com, was created.  It lasted until 2001. A host of other networking sites, the ones most of us are familiar with, sprang up in the early 2000s—Myspace (2003), Facebook (2004), and Twitter (2006). There are, I suppose, two ways of looking at the cultural and scientific lags and SNSs. On the one hand, it took a few years SNSs to grow to significant numbers. For example, it took Facebook four years (2004 – 2008) to grow to 100 million users. Within four years of that development there were multiple presentations at AAPOR on the subject. That’s certainly much faster than the development of CATI technology/adoption. On the other hand, social researchers took nearly a decade from the birth of widely popular SNSs to begin formally recognizing their research utility.
Now, we may be at the cusp of another such tsunami of consumer technology adoption. Groups disagree on the exact timing (e.g., Forbes says 2014 and MIT Technology Review says 2013), but the evidence points to the start of rapid growth in the use of internet connected sensors and devices for a multitude of purposes. I’ve recently written about how and why I think the devices and the IoT will affect social science data collection.
My question is whether the research community can be more proactive, and therefore decrease the scientific lag between adoption and research implementation. My hope is we will and that it will have a positive effect on survey data collection.
I’ll be presenting more thoughts on this topic at AAPOR and look forward to the discussion we have about big data in the session. Between now and then I’d welcome the thoughts others have on or experiences others have had with using wearable tech, sensors, or the IoT for research.
This was first posted on Survey Post  on 24/02/14
Brian Head is a research methodologist at RTI International with 5 years of experience in the government and not-for-profit research sectors.  Training in sociology and research methods and statistics led him to a career in research where his work has included questionnaire design and evaluation,  managing data collection efforts, and qualitative and quantitative data analysis.
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    Monday, 11 November 2013

    Introducing the Web Team Our Contributing Expert: Dr. Chareen Snelson


    Greetings from Boise, Idaho, USA. It is my honor and pleasure to join the NSMNSS web team as an contributing expert. In this post I will briefly describe my background as it pertains to this group and the dynamic arena of social media research.

    I currently work as an Associate Professor and Associate Department Chair in the Educational Technology Program (EDTECH) at Boise State University. The majority of our EDTECH program is graduate level and completely online. I have been teaching online with this program for over a decade. Prior to my work in higher education I was a middle-school science teacher. I have been enamored with video in education ever since those early years teaching science to teens. Video seemed like the best way to introduce these rural Idaho teens to active volcanoes, deep sea life, or experts on topics we were studying. Of course, back then we relied on the now antiquated VCR technology to play video in the classroom. I never knew if it was going to work or not. What an adventure. Now, as an online educator I find video very valuable in presenting information or communicating with students at a distance. Google Hangout with screenshare has become a favorite application for helping students with technical issues or for communicating with adjunct instructors who live at a distance from campus. When YouTube was initially developed I became intrigued by the possibilities of tapping in to its growing body of content and sharing tools for education. In 2008, I created a course called "YouTube for Educators", which was initially offered as a temporary elective for our EDTECH graduate students. The course became popular and was converted to a permanent elective. Now, we offer the course every year. My syllabus is online if you are curious about the content. I also maintain a related teaching blog called TubeTeaching and an active YouTube channel.

    My research has progressively focused on educational applications of YouTube and what people post on YouTube (e.g., videos, comments). My most recent research article, Vlogging About School on YouTube: An Exploratory Study (New Media & Society), used YouTube as a data source. The process of using YouTube, or other social media platforms, as a data source can be a fascinatingly challenging one as I have learned from personal experience. After completing the vlogger study I had the opportunity to delve into a deeper discussion of the methodology in a research case, which has been accepted for the forthcoming SAGE Cases in Research Methodology collection. The rest of my publication list is available on my vitae.

    I see a lot of work ahead in the area of YouTube and social media research. My primary interests seem to be converging on online ethnography and qualitative content analysis although other methodologies are quite interesting. A high priority for me right now is gaining a better understanding of how researchers are designing qualitative and mixed-methods social media studies. In the spring of 2014, I will spend my one-semester sabbatical delving deeply into the subject of how people have been conducting qualitative or mixed-methods research on YouTube, Twitter, and Facebook. This work will involve an examination of both methodology and technologies used to support social media research. I am a rampant NVivo user, but have not yet explored the full gamut of options available for qualitative social media research. My Social Media Research and Technologies blog is where I have begun to document this exploration. This blog will serve as an avenue for discussing my sabbatical project on social media research as it progresses. I have strong interest in this topic and hope to connect with other like-minded researchers. I am looking forward to sharing, learning, and collaborating through my time with NSMNSS and beyond.