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In this article, Giustini (2006) explains how web 2.0 and it's intrinsic "spirit of open sharing and collaboration" aids the "continual loop of analysis and refinement" of medical information. Giustini (2006), like Maag (2005), uses the example of blogs - in this case Ves Dimovs's Clinical cases and Images - to demonstrate how online collaboration promotes interactive discussions and timely updates on peer-reviewed medical material. Giustini (2006) also touches on how Google can serve as a diagnostic aid, but this will be examined in my commentary on "Googling for a diagnosis" (Tang, 2006). This article is a valuable resource because it highlights another form of online collaboration: the wiki. Giustini (2006) sees wikis as a place "to create optimal knowledge building opportunities for doctors", which will ultimately advance medical science. Wikis can do this in a number of ways. Firstly, by providing an environment "where knowledge exchange is not limited or controlled by private interests" (Giustini, 2006). Wikis also allow "participation and conversations across a vast geographical expanse" and "permit continuous instant alerting to the latest ideas in medicine" (Giustini, 2006). Wikis could also be used "as a low cost alternative to commercial point of care tools". Giustini's occupation as a medical librarian at the University of British Columbia enhances the credibility of this article. This is why I have chosen it to demonstrate the positive effect online collaboration is having on the medical industry. This article is important because it places the idea of a medical wiki in a much larger context. By breaking down the "old proprietary notions of control and ownership" (Giustini, 2006) of knowledge, wikis "may be the answer to the world's inequities of information access in medicine" (Giustini, 2006). References: Giustini, D. (2006). How Web 2.0 is changing medicine. Retrieved April 16, 2011, from http://www.bmj.com/content/333/7582/1283.full Tan

This article is quite short and not academic but I have included it because it adds some symmetry to the previous articles I have reviewed. While this article is focused specifically on the "risks associated with self-diagnosis and the reliance on 'Dr Google'" (Whyte, 2010), it also serves to highlight a potential problem of online collaboration: credibility and the quality of information. This is its primary value as resource for this project. While Giustini (2006) talks of the open access and freedom of publication that online collaboration allows, I think there is a drawback to online collaboration that hasn't been addressed in the previous articles. Misleading or incorrect information, especially of a medical nature, can be potentially harmful if published. As Whyte (2010) writes in this article, doctors are finding it increasingly concerning that patients are misusing their medication, referring to the internet for advice rather than consulting a trusted GP. Some Google listings that have not been filtered may list incorrect complications and side effects of certain medicines. As a result patients are taking less than the recommended dosage. Dosages or remedies may also be incorrect on Google and this could lead to potentially dangerous overdoses of medicine. Boulos (2006) writes of the problems gauging the reliability and accuracy of information on the internet. While "virtually anybody is able to alter, edit or otherwise contribute to the collaborative Web pages … the very process of collaboration leads to a Darwinian type 'survival of the fittest' content within a Web page" (Boulos, 2006). This would ensure that dubious information was kept to a minimum. Also by providing a closed and secure digital environment, the collaboration process could be carefully monitored and moderated. References: Boulos, M., Maramba, I. & Wheeler, S. (2006). Wikis. blogs and podcasts: a new generation of Web-based tools for virtual collaborative clinical practice and ed

Savage, N. (2011). Twitter as Medium and Message. Communication of the ACM, 54(3), 18-20. Researchers say the Twitter data may help answer sociological questions that are otherwise difficult to approach. Their research documents the Twitter in means of social media that gives people opportunities for tracking what people are saying about everything. The Twitter opens access to tweets with range of incredible number of topics and subjects that people tweet about. For example a scientist at the Louisiana University used the Twitter for a simple search using a few influenza related keywords. This simple search enabled him to predict future influenza outbreaks. The Twitter's data assisted in another professional field called Air Twitter project at the Washington University in St Louis. The Twitter was engaged for additional provision of information or tweets about events like dust storms, fires, air quality and similar. A similar approach was explored by US Geological Survey (USGS). The Twitter was used for messages in means of a supplement to USGS network of seismographic monitors that alert the federal agencies about occurring earthquakes. Another good example is from psychology field where the Twitter was used for the sentiment analysis of tweets. Researchers used 'Affective Norms for English' tool used in psychology that rates the emotional value of words. The analysed tweets revealed data about particular group happiness levels. The real examples above reveal how data from the Twitter can assist in gaining valuable information either for the medicine, natural disasters or just about happiness levels. The Twitter has been recognised as extremely useful tool for gathering data that would be otherwise difficult to search. Twitter's fast and cost free access to information is very useful for the sociological purpose. Of course, there is always potential for spread of unfiltered information that can invite a possibility of abuse, incorrectness and other negati

Paula, an excellent and timely article which shows how Twitter has become a collaborative tool for research and data collection purposes. A leading researcher in this area is academic Dr Steve Wheeler at the University of Plymouth in the UK. He quotes a teacher on Steve's blog who states that he uses Twitter 'is because his community - those he wishes to connect with - are best contacted using it' (Wheeler, 2011a). Indeed Steve argues that connections of both research information and data can be found simply by following academics in your field on Twitter. Although such communications can often be one-way but as your article states, the potential for both medium and message, i.e. this can be interpreted as data and research, as leads to what you want can be invaluable if protocols are followed (Wheeler, 2011b; Savage, 2011). For example, people do collaborate simple nights out with friends on Twitter, so therefore why is collaborating on a large project by using contacts on a professional an ideal? Sometimes it depends on Twitter's image as a social media nattering device (Wheeler, 2011b). I agree that Twitter has had an image problem to overcome. But your article does prove it is being used for research advancement. The dust storm data for example shows what is possible to collect and how getting data transcends time and physical borders. However, it is vital that etiquette be followed, perhaps even making Twitter networks private, and the information is check for credibility. These are the challenges Twitter users face; yet to have this collaboration tool is vital for broadening access to research data and findings. References Savage, N. Twitter as Medium and Message. Communication of the ACM, 54(3), 18-20. Wheeler, S. (2011a). Twitter: It's still about the connections. Learning with 'e's, Retrieved April 14, 2011, from http://steve-wheeler.blogspot.com/2011/04/twitter-its-still-about-connections.html Wheeler, S. (2011b). Twitter: Le triple

As BOINC is being used to further research projects through public-resource computing, so too is Twitter, another form of online collaboration, now being used for research. "Researchers are finding they can measure public sentiment, follow political activity, even spot earthquakes and flu outbreaks, just by running the chatter through algorithms that search for particular words and pinpoint message origins" (Savage, 2011). Due to the real time nature of "tweets", researchers can get early warning signs of events like earthquakes by searching twitter for key words like "OMG earthquake" and other related words. Programs can also be written to exclude unrelated words, for instance when looking for flu outbreaks, comments like "Beiber Fever" can be instantly excluded. Although at this stage this form of research can not be 100% accurate it can give a picture of what is happening. Twitter can also give researchers a more subjective point of view. It can look at how the people are affected by an earthquake, instead of just giving statistics on building damage and repair costs. As with anything there can be some problems related to using twitter this way. The first is "sample bias". Information gained in this way relies on the users having a computer, internet access and a twitter account. Although in the western world percentages of this would be high, in poorer nations this usage would drop significantly. However this problem can be addressed. Researchers wanting "to glean insights from tweets can apply corrections to the sample, just as traditional pollsters do" (Savage, 2011). The other problem is that of spam, or users hoping to improve the chance of their tweet gaining high rating by re-tweeting on the same topic. For example in an American election a conservative group sent out "929 tweets in just over two hours" (Savage, 2011) with a link that attacked a representative. This can then affect the data bias. There are so ma

The internet and the online collaboration that it facilitates is quickly becoming an important clinical tool for doctors. This case study focuses on how doctors use Google to diagnose difficult cases. It was chosen as a resource because it provides another example of how online collaboration is benefiting the medical industry. While there is anecdotal evidence that patients use Google for self diagnosis, I was surprised to find that doctors are using Google as well. In this article, Tang & Ng (2006) examine "How good is Google in helping doctors to reach the correct diagnosis?" . This study shows that the "efficiency of the search and the usefulness of the retrieved information also depends on the searchers' knowledge base" (Tang, 2006). For instance, a doctor would know the correct medical terminology for a patient's symptoms and also have an understanding the medical terms that are returned by Google. For this reason "Google searches by a "human expert" (a doctor) have a better yield" while "patients doing a Google search may find the search less efficient and be less likely to reach the correct diagnosis." This study is a valuable resource because its results are statistically based and follow a well-defined method. This study clearly states the results that 15 out of 26 cases were correctly diagnosed using Google. The real importance of this case study is to demonstrate how online collaboration has allowed useful information on even the rarest medical syndromes to be found and digested within a matter of minutes (Tang & Ng, 2006) and that "web based search engines such as Google are becoming the latest tools in clinical medicine" (Tang & Ng, 2006). References: Tang, H., & Ng, J. (2006). Googling for a diagnosis-use of Google as a diagnostic aid: internet based study. Retrieved April 16, 2011, from http://www.bmj.com/content/333/7579/1143.full

[Please Note: This comment is in two parts due to Diigo restrictions on length] Topic: Flash Mobs This TED Talk is important to the topic of flash mobs because it highlights the fact that modern issues of global significance such as obesity, crime, good health, and creativity, are affected by the social connections that we all have. The rise of Internet usage through avenues such as social networks in the form of Facebook and other similar sites has been acknowledged as a vital factor that is also used by flash mobs when organizing their activities. The main point that can be taken into account through this TED Talk, is that if subconscious concepts such as obesity can claim influences from social networking, it should also follow that other more positive concepts such as philanthropy, will also be influenced by connecting with social networks. These social networks have a resilience that survives the test of time so it is of utmost importance to understand what the contributing factors are that sustain them. One important factor that was discovered was the power of emotion. Emotional "stampedes" and "collective existences" can be formed through social networks. They appear in clusters that can be delineated, for example, by "happy patches" and patches with other emotional characteristics. [Continued in the comment below]

Flash mobs utilise digital communications among social networks to mobilise a large group of people to appear in a set location. Many reading about flash mobs highlight the use of Internet communication but there have not been many references that refer to how the social network functions. Nicholas Christakis is a Harvard Professor of Medicine, Health Care Policy, and Sociology at Harvard University and he directs a diverse research group investigating social networks. "His work examines the biological, psychological, sociological, and mathematical rules that govern how we form these social networks, and the rules that govern how they shape our lives" (TED Conferences, 2010). Christakis gives three reason that people cluster but for flash mobs the most relevant is that people can share a common exposure to something (Christakis, 2010)and thus messages are spread to people of like mind, in turn pleading to a large crowd with everybody having a common purpose. Another important aspect to take from this is that networks are constantly changing in composition but the network still persists. Kaulingfreks and Warren would describe this as a rhizome that is "an ubiquitous connection between points in a structure but without a clear defined path…each node passing information to other nodes (2010, p. 221) . Christakis says " It is the ties between people that makes the whole greater than the sum of parts" (2010).For flash mobs and protest movements it is the power of the group that makes all the difference as has been demonstrated in political flash mobs and recent protests in Egypt, Iran and Tunisia. Christakis, N. (2010, February). The hidden influence of social networks TED Talks [Video file]. Retrieved from http://www.ted.com/talks/nicholas_christakis_the_hidden_influence_of_social_networks.html Kaulingfreks, R., & Warren, S. (2010). SWARM: Flash Mobs, mobile clubbing and the city. Culture and Organization, 16(3), 211 - 227. doi:10.1080/14759551.

After watching this video on networks I started to consider the relevance of the internet informing networks and would the networks form in another way if social media tools were not available. Flash Mobs was organised on the internet and use internet tools to collaborate there next event. Could the same thing be achieved without the internet? My guess is yes it can be achieved without the internet. If we take the Egyptian Revolution and the claims that Facebook and Twitter were responsible for the organisation of the revolution some argue that this was not the case. The main body of the argument is that there been revolutions well before the internet (Rosen, 2011). Supports this argument however still recognises the role that social networks had played in the revolution(Beaumont, 2011). Pickwell, 2011 argues that many crowd gathering s such as revolutions and protest do not utilise the internet or social media to gather crowds. Pickwell claims they under utilise the tools the internet offered them. Considering that social media has a communication roll to play, you may also need to consider other factors used in creating the network. Christakis, 2011 presentation on networks gives you a better understanding as to how networks operate and why the above arguments have some merits. Beaumont, P. (2011). The truth about Twitter, Facebook and the uprisings in the Arab world. Retrieved 15th April 2011, from http://www.guardian.co.uk/world/2011/feb/25/twitter-facebook-uprisings-arab-libya Christakis, N. (2010). The Hidden Influence of Social Networks. TED Talks. Filmed February 2010. Posted May 2010. Retrieved April 5, 2011 from: http://blog.ted.com/2010/05/10/the_hidden_infl/ Pickwell, J. (2011). Lecture on the anti-war movement and Internet Collaboration and Organisation, net 308 iLectures: Curtin Unversity, Rosen, J. (2011). The "Twitter Can't Topple Dictators" Article. Retrieved 15th April 2011, from http://pressthink.org/2011/02/the-twitter-