Edward H. “Bud” McDermott
LeRoy ~ , age 86, passed away Saturday morning (November 12, 2016) at the Batavia Health Care Center after a short stay. He was born July 13, 1930 in LeRoy, a son of the late Thomas E. and Esther Lapp McDermott. He was
lectures on contemporary developments in media and communications with an emphasis on the social understanding and analysis of digital media. social media platforms and the public sphere. the politics and philosophy of digital media. and media and communications research methodologies at the London College of Communication, University of Arts, London. My presentation given at the SRA and #NSMNSS allowed me to finally meet face-to-face with 7 expert speakers presenting tools for social media research. It was a day of learning for me. An all-day event that left me elated and keen to get on with my research in the knowledge that I would be able to call on the expertise of the others if needed - and of course my door is always open to the other... The talk was titled “ Critically Engaging with Social Media Research Tools ”. it was about using the tools but with ethical concerns at the forefront of the social researcher’s mind rather than relegating them to a mere paragraph in the methods... In order to illustrate the fluid nature of the visualisations that the software can co-create I had decided to collect, analyse and visualise Twitter data on the hashtag #BigData. By selecting this hashtag, I was also keen to get behind who or what organisations were promoting the buzz surrounding big social data. to collect data from Twitter, YouTube enable the social researcher to take part (in a limited capacity) in surveillance capitalism. Researchers are able to collect big social data from people’s lives without their knowledge or consent. I was keen to highlight the notion that as researchers are in this position of observing others interactions that they have a duty of care to those they are researching. As we do when applying any other research tool. The answer to the question regarding who or what institution is behind/key influencer/major player/controlling the flow of communication on #BigData was revealed by analysing 1,040,000 #BigData Tweets with Leximancer. On Twitter the key influencer around the term #bigdata is a contractor who supplies staff to the National Security Agency in the United States – Booz Allen Hamilton. Booz Allen Hamilton are the contractors who employed Edward Snowden. This visualisation was presented with the caveat that the graphs and images being shown are the result of numerous steps and decisions by the researcher guided by certain principles from social network analysis (SNA) and graph theory. What was presented are a few of the techniques and tools of data mining and analytics, with machine learning and automation in Leximancer. Such insights that ‘come’ from the data and the application of algorithms need to be validated in the light of informed understanding of the ‘never raw data’ position. The existence of this ‘data’ is the result of a long chain of requirements, goals and a shift in the wider political economy. Big/Social data does not represent what we think they do. It represents something, and this is worth investigating. The modelling algorithms used to visualise the social data know nothing about letters, nothing about narrative form, nothing about people. The algorithm’s lack of knowledge of semantic meaning, and particularly its lack of knowledge of the social media as a form or genre, lets it point us to a very different model of the social. Such ‘Reading Machines’ are engaged in datafication of the social. The concern with the notion of datafication is that as it attempts to describe a certain state of affairs, it flattens human experience. It is this flattening by computer aided approaches to research of social media platforms that requires caution and can be ameliorated by the application of ethnographic approaches to collecting social media data from Twitter and other platforms. Should social science researchers embrace social media and, if we do, what are the implications for our methods and practice. This network, led by NatCen Social Research and SAGE along with our affiliate supporters (see below) is for people using or seeking to use social media in social science research who want to explore the implications of that question.
King Edward Soup (olive oil, mushroom, onions, garlic, yellow squash, zucchini, water, rice, basil, tomato, beef)
Roasted Red Lentil Soup (mustard seed, black pepper, carrot, celery, cumin, curry powder, tomato, garlic, cumin, ginger, onions, red lentils, salt, sesame seed, vegetable broth, vegetable oil, water)
Thai Sweet-And-Sour Cucumber Salad (cilantro, cucumber, peanut, cilantro, red onions, salt, sugar, water, white vinegar)
Chi-Chi's Beef Nachos Grande (cheddar cheese, chili powder, tortilla chips, onions, onion powder, ground beef, monterey jack cheese, paprika, jalapeno, refried beans, salt, water)
thanks to. President’s Choice Financial® and PC® Insurance are proud to support John McDermott’s Canadian Tour. For the past 16 years, PC Financial® and PC ...
Dylan McDermott – Wikipédia, a enciclopédia livre
Dylan McDermott (Waterbury, 26 de outubro de 1961) é um ator estadunidense. Em 1999 recebeu o Globo de Ouro por sua atuação no seriado de televisão dramático The ...
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