Expected results
Expected results by the end of this research:
Identify the ideal social functionalities for live streaming players (music);
Identify new social functionalities for live streaming players (music);
Establish a set of best practice in the use of social mashups (e.g. information and content provided by web services);
Propose new uses for the data (comments, tweets, facebook posts, etc) generated during live streaming events;
Propose new ways to monetize music live streaming services, based on social networking and user generated content added value.
Chronogram
This post refers to the interview, conducted on today’s seminar, to my master degree’s colleague Teresa Gouveia, concerning her ongoing research. Teresa’s dissertation and blog posts are written in Portuguese. For that reason the following transcription is written in its original language.
For a better understanding of Teresa’s work I recommend you to visit her blog
De que forma enquadras a tua investigação no actual paradigma da web social?
Na investigação é estudado como as autarquias estão a utilizar, nos seus sítios Web, as potencialidades da Web 2.0. A titulo de exemplo, terão as autarquias presença no Twitter, se sim, que utilização é feita dessa presença.
De que forma a tua investigação poderá contribuir para alterações de atitudes e comportamentos?
Poderá contribuir para a consciencialização, por parte dos responsáveis da estratégia Web dos municípios, da importância da utilização de novos recurso de comunicação que promovam a participação do utilizador/cidadão/munícipe.
A tua investigação centra-se numa lógica de valorização do indivíduo ou da organização?
A investigação valoriza ambas as entidades, na medida em que promove a cidadania participativa.
A tua investigação explora uma lógica entusiasta ou numa lógica crítica?
A natureza da investigação é essencialmente critica, já que parte da análise das actuais práticas no âmbito da presença Web dos municípios portugueses. Assume uma lógica entusiástica na medida em que se pretende sugerir novos serviços e funcionalidades.
De que forma a tua investigação actua na inter-dependência tecnologia-sociedade?
A investigação remete para a utilização da tecnologia ao serviço do poder local eleito e, por inerência, dos cidadãos com vista a potenciar a comunicação.
In every research, a comprehensive analyse of the state of the art is of the utmost importance. If we neglect this important milestone, there is a chance we might end up inventing the wheel.
In my dissertation I have identified three areas of expertise, which, in my opinion, should be included in the state of the art analyses:
Social Media, which social media functionalities are available in social network applications and, if possible, which are most commonly used?
Mashups, which of those social network applications are using APIs from other web services? With which technology were they developed? What information do they retrieve from those web services? What information is provided for other applications?
Streaming technology, what technology is being used for live and on demand video/audio streaming?
I already have some previous knowledge on streaming technology from Urock’s state of the art, therefore I will only need to refresh that information. For this reason, I have decided to conduct a thorough research on Social Media and Mashups.
First I need to identify the applications that will be included in this study and create a registration table that will help me to systematize the gathered data.
I have come across a resource that might be very useful for everyone who is conducting this kind of research, “The Conversation Prism”.
The Conversation Prism
The Conversation Prism is a living social media map presented by Brian Solis and Jesse Thomas. It is a visual representation of social media, grouping similar applications according to their type of use and content. This resource will allow me to compare social media applications with different targets and look for common social functionalities.
Conversation Prism 2.0 is the latest version and features the contribution of many users that, over the past year, have tagged the first version of the map published on Flickr with suggestions of new applications that should be added to the list.
What better way to start a social media research than using a comprehensive list developed in collaboration by an active online community?
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In the last few weeks I have been trying to determine which authors and theories will serve as the basis of my dissertation. Searching for the right readings, that will establish the theoretical background of our work, consumes a lot of time. The worst thing that could happen is choosing a wrong book or paper to read and not realize that until you have already wasted hours or even days.
So what can we do minimize that risk?
I guess there is no magical recipe and everyone has its own way to overcome this obstacle. Looking for recommendations and guidance from our professors and colleagues is obviously the first option but I feel we should not rely only on what is in front of us. We are in the age of global mass collaboration so why limit ourselves to our “local network”? Social Media platforms such as Twitter, Facebook and LinkedIn, among others, now give us the chance to connect directly to people that we were used to see only on the back cover of book or as unreachable authors of a break through paper.
I realized this almost a year ago when I was working with Juliana on Urock’s concept. From then on I started building a diversified network of connections with people from different areas of expertise. Despite their different backgrounds those authors, that play an active part in social networks, have one thing in common… they are there to collaborate.
I believe we can and should take advantage of that collective knowledge to get recommendations and filter references. We are not merely “asking” Google’s search algorithm “What should I read?” we have real people, that are experts on their field, giving us guidance and support. As an example, last week I received reading recommendations from Don Tapscott, author of “Wikinomics” and “Grown Up Digital”, through Twitter’s Direct Message service.
I believe that this is just the beginning. By asking the community for suggestions to our work we are reinforcing boundaries and creating trusting relationships with fellow professionals that can be very useful later on the research. For example, we can use this same knowledge network to get feedback on our ongoing work.
Some might say that using social networks, while you are working on your thesis, can be a source of distraction. Allow me to disagree, if used properly, social networks can be powerful research tools.
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