Barnet PCT applies principles when making treatment and service priority decisions for both individual patients and populations. The principles are clinical effectiveness, cost effectiveness, affordability, and equity. Resources are focused on providing the greatest benefit to the largest number of people. Individual funding requests are considered on a case-by-case basis and must demonstrate clinical and cost effectiveness as well as exceptional individual circumstances to receive funding outside of normal care pathways.
This document provides excerpts from interviews with actors reflecting on their favorite television shows and roles from 2005. Patrick Dempsey discusses enjoying his role on Grey's Anatomy while keeping his ego in check. Jennifer Love Hewitt expresses excitement over her role in Ghost Whisperer and favorite episode. Felicity Huffman discusses taking her Desperate Housewives character in a new direction with a health scare and highlights of her personal year.
This document summarizes the television show Grey's Anatomy and its large, dedicated fanbase. It describes how the show was created and produced by Shonda Rhimes, focusing on the relationships between female characters. It details the original cast and how the cast has changed over 11 seasons. It also analyzes the demographics of the fanbase and how fans have formed large online communities to share fan fiction, discuss episodes, and create memes related to the show.
Grey's Anatomy is a medical drama television show that focuses on the personal and professional lives of interns, residents, and attendings as they develop friendships and romantic relationships while dealing with very difficult medical cases. The main characters are Dr. Meredith Grey, Dr. Cristina Yang, Dr. Derek Shepherd, Dr. Owen Hunt, Dr. Arizona Robbins, and Dr. Callie Torres. Viewers enjoy the show for its mix of medical cases, relationships, and emotional storylines.
The television marketing plan for Grey's Anatomy I created during my Semester in LA. My objective was to create audience awareness and stronger viewer loyalty after the season finale, that would carry the audience through the summer. After the brief hiatus over the summer we want the loyal audience to return. We also want a 10% increase in new viewership.
Grey's Anatomy is an American medical drama television series that follows the lives of five surgical interns and residents at the fictional Seattle Grace Hospital. The cast has been nominated for and won many awards for their roles. The show has released DVDs of each season annually and features the song "Cosy in the Rocket" by Psapp in its main title theme for the first two seasons.
This document lists the names of characters from the TV show Grey's Anatomy along with the actors who portrayed them. It includes main characters such as Meredith Grey, Derek Shepherd, Cristina Yang, Owen Hunt, and Miranda Bailey as well as other regular characters from across the different seasons of the show and the actors who played their roles.
Barnet PCT applies principles when making treatment and service priority decisions for both individual patients and populations. The principles are clinical effectiveness, cost effectiveness, affordability, and equity. Resources are focused on providing the greatest benefit to the largest number of people. Individual funding requests are considered on a case-by-case basis and must demonstrate clinical and cost effectiveness as well as exceptional individual circumstances to receive funding outside of normal care pathways.
This document provides excerpts from interviews with actors reflecting on their favorite television shows and roles from 2005. Patrick Dempsey discusses enjoying his role on Grey's Anatomy while keeping his ego in check. Jennifer Love Hewitt expresses excitement over her role in Ghost Whisperer and favorite episode. Felicity Huffman discusses taking her Desperate Housewives character in a new direction with a health scare and highlights of her personal year.
This document summarizes the television show Grey's Anatomy and its large, dedicated fanbase. It describes how the show was created and produced by Shonda Rhimes, focusing on the relationships between female characters. It details the original cast and how the cast has changed over 11 seasons. It also analyzes the demographics of the fanbase and how fans have formed large online communities to share fan fiction, discuss episodes, and create memes related to the show.
Grey's Anatomy is a medical drama television show that focuses on the personal and professional lives of interns, residents, and attendings as they develop friendships and romantic relationships while dealing with very difficult medical cases. The main characters are Dr. Meredith Grey, Dr. Cristina Yang, Dr. Derek Shepherd, Dr. Owen Hunt, Dr. Arizona Robbins, and Dr. Callie Torres. Viewers enjoy the show for its mix of medical cases, relationships, and emotional storylines.
The television marketing plan for Grey's Anatomy I created during my Semester in LA. My objective was to create audience awareness and stronger viewer loyalty after the season finale, that would carry the audience through the summer. After the brief hiatus over the summer we want the loyal audience to return. We also want a 10% increase in new viewership.
Grey's Anatomy is an American medical drama television series that follows the lives of five surgical interns and residents at the fictional Seattle Grace Hospital. The cast has been nominated for and won many awards for their roles. The show has released DVDs of each season annually and features the song "Cosy in the Rocket" by Psapp in its main title theme for the first two seasons.
This document lists the names of characters from the TV show Grey's Anatomy along with the actors who portrayed them. It includes main characters such as Meredith Grey, Derek Shepherd, Cristina Yang, Owen Hunt, and Miranda Bailey as well as other regular characters from across the different seasons of the show and the actors who played their roles.
The Genesis of Crisis Communication: from Witnesses to GatewatchersLuca Rossi
During crisis events individuals look for information and try to share useful content or testify their own experience through social media sites. The research for valuable information is, usually, largely based on information provided - through social media as well as through more traditional media - by news agencies and official actors. This collective behavior leads, on a given amount of time, toward the emergence of gatewatching activities where digital media are usually used to reshare and to control information. But how does this phenomenon emerge? This paper will investigate this specific topic looking at the Twitter conversations produced during the first five hours after the earthquake that struck Emilia Romagna region in Italy on May 20th 2012.
By focusing on the first 5 hours of the Twitter stream we have been able to detect the early user-led phase of the phenomenon, showing which type of users has been the first to fill the information gap and, by then, what happened until the early morning when traditional media came on stage. The research has been based both on the a textual qualitative analysis of the tweets, aimed at investigating what kind of messages were produced and by what kind of users, and on a Social Network Analysis of the #terremoto hashtag that showed how user-produced communication results in different network structures than news agencies’ produced ones.
On February 2013, over 35 million Italian citizens voted to renew the national Parliament. For the first time in Italian history, Internet played an important and perhaps decisive role as place of political debating. In order to investigate the role that social media played in this electoral campaign, we collected social media mentions from Facebook and Twitter of the main political leaders during the month prior the election. This resulted in dataset composed by more than 2 millions Twitter messages and 25 millions Facebook interactions. Starting from critical multi-level approach, present paper will attempt both to deal with complexity of election predictive models based on online data and to highlight main determinants affecting vote and online mention. All these questions will be answered through the use of large-scale longitudinal data.
Conversation Practices and Network Structure in TwitterLuca Rossi
This document summarizes a study analyzing Twitter data during a 6-hour period surrounding an airing of the TV show "X Factor 5" in Italy. The study collected over 22,000 tweets from over 5,000 users, analyzing patterns of retweets, mentions, hashtags, and link sharing. It found that users who were more central in the retweet network were more likely to gain new Twitter followers during the TV show airing. The document considers whether engagement was specific to the Twitter network or the TV show topic. Finally, it discusses potential next steps like analyzing network stability and crisis events on social media.
The document discusses the rise of optimistic approaches to web 2.0 from various theoretical perspectives and also discusses some criticisms of these perspectives. It analyzes power structures in digital media using concepts from Michel Foucault around discipline, surveillance, and the panopticon. Specifically, it views users' activities online as generating information flows to platforms that can continuously monitor users, similar to Foucault's concept of the panopticon prison. The document also critically analyzes Google's use of personal data and control over search rankings and results.
The document discusses the rise of optimistic approaches to web 2.0 from various theoretical perspectives and also discusses some criticisms of these perspectives. It analyzes power structures in digital media using concepts from Michel Foucault around discipline, surveillance, and the panopticon. The document argues that a Foucauldian lens can help understand the ambiguous role of users and how their horizontal interactions still generate vertical flows of information to platforms. It provides examples analyzing power in entities like Google.
Talk given at MediaMutation 3 Conference, Bologna, 25th May 2011
Abstract
In the Web 2.0, traditional audiovisual narratives such as Tv series are evolving. This is the case of
Glee (Fox, 2009 - present), a musical teen dramedy that exploit the opportunities of YouTube to engage audience in a open ended process of spredability. In fact, Fox distributes on YouTube both
Glee music clip and previews in Official Channels. At the same time YouTube users appropriate and
re-work professional produced content to fulfil they personal needs.
This new scenario rises a whole new set of research questions: which kind of social structures
emerges around YouTube videos? Does fans interact in the same way on Official Channels and in
Fan Channels? Which YouTube videos stimulate more fans interaction through comments. With the
aim to answer to those question we combined a Social Network Analysis (SNA) with a content analysis of both YouTube videos and user’s comments. Glee related videos became a social space
where both fans and anti-fans interact but they don’t seem to construct any kind of stable social relationship. In order to observe the emergence of disperse audience, we map the YouTube network of
users that comment the video to see how this network participates or does not participate in the ongoing conversations about Glee’s videos. At the same time we have mapped all the interactions occurring between fans and anti-fans and we have identified several typologies of comments.
The major research results that will be discussed in our paper will be: the analysis of the comments
and textual interactions and their role within the YouTube social practices, the analysis of the videos
and their ability to start different kind of social interactions, a reflection upon the new relationship
between fans and anti-fans that emerges in YouTube as a consequence of the “collapsed context”
between fan cultures and generalistic audience.
Luca Rossi from the University of Urbino presented on social gaming in the context of social networks. He discussed how social games allow people to play together with their real-world friends and family using social network infrastructure, returning games to their roots of being played with people you know. Rossi hypothesized that specific game structures work better with specific underlying social structures, with competition encouraging closed groups and cooperation encouraging open groups. Preliminary data was presented from games like Biggest Brain and Pet Society that showed people tended to stay within their networks and share achievements rather than add new friends or invite existing friends when playing cooperative games.
Information propagation in Microblogging SitesLuca Rossi
This document summarizes a study of how information propagates on the social networking site Friendfeed. It analyzed over 10 million posts from September 2009 to track how news of Mike Bongiorno's death was shared. The study found both explicit news sharing and implicit discussion contributed to propagation. Short propagation chains had few shares while long chains spread the news more widely. The study also compared how quickly Friendfeed users learned of the news versus major Italian newspapers. It questions if social networks represent a new form of mass media.
Sentiment analysis has potential for researching relationships and connections between audiences and media products online. The presented research project applies sentiment analysis techniques to Italian television programs and contents by constructing a lexicon and analyzing blogs and tweets. While sentiment analysis can quantify subjective opinions at scale, it is important for researchers to consider questions around context, social bonds, influential users, and the impact of opinions rather than just identifying positive or negative sentiments. The role of algorithms versus ethnographic analysis is also discussed.
This document proposes new social metrics for analyzing online conversations on social media platforms. It discusses metrics that measure aspects of social interactions like information propagation, how users engage in conversations, and language use, going beyond traditional network structure analyses. Examples of proposed metrics include the conversation index, out of network conversation measure, and language fidelity index. The document argues that these new social metrics can provide insights into users' social practices and how information spreads through both stable and unstable connections on social networks.
The document summarizes analysis of the most discussed images on the Italian FriendFeed network from September 6th to September 19th 2009. It found that of the top 100 most commented entries, 3895 comments were generated from images. Self portraits comprised a large portion of the images and tended to generate supportive and complimentary comments from other users. Images of people, objects, screenshots, and evidence also featured prominently in the most engaged with posts. The findings suggest images and videos have a significant impact on driving comments and engagement on the social network.
This document analyzes news propagation on the social networking site Friendfeed using data from September 2009. It finds that news of the death of Italian TV host Mike Bongiorno spread rapidly, with the first post receiving 130 comments and later posts totaling 585 comments as the story was discussed and shared. The propagation followed identifiable paths through major hubs on the network. The analysis suggests social networks may represent an evolution of traditional mass media, as users decide what information to spread and discuss rather than passively receiving pre-selected news.
The Genesis of Crisis Communication: from Witnesses to GatewatchersLuca Rossi
During crisis events individuals look for information and try to share useful content or testify their own experience through social media sites. The research for valuable information is, usually, largely based on information provided - through social media as well as through more traditional media - by news agencies and official actors. This collective behavior leads, on a given amount of time, toward the emergence of gatewatching activities where digital media are usually used to reshare and to control information. But how does this phenomenon emerge? This paper will investigate this specific topic looking at the Twitter conversations produced during the first five hours after the earthquake that struck Emilia Romagna region in Italy on May 20th 2012.
By focusing on the first 5 hours of the Twitter stream we have been able to detect the early user-led phase of the phenomenon, showing which type of users has been the first to fill the information gap and, by then, what happened until the early morning when traditional media came on stage. The research has been based both on the a textual qualitative analysis of the tweets, aimed at investigating what kind of messages were produced and by what kind of users, and on a Social Network Analysis of the #terremoto hashtag that showed how user-produced communication results in different network structures than news agencies’ produced ones.
On February 2013, over 35 million Italian citizens voted to renew the national Parliament. For the first time in Italian history, Internet played an important and perhaps decisive role as place of political debating. In order to investigate the role that social media played in this electoral campaign, we collected social media mentions from Facebook and Twitter of the main political leaders during the month prior the election. This resulted in dataset composed by more than 2 millions Twitter messages and 25 millions Facebook interactions. Starting from critical multi-level approach, present paper will attempt both to deal with complexity of election predictive models based on online data and to highlight main determinants affecting vote and online mention. All these questions will be answered through the use of large-scale longitudinal data.
Conversation Practices and Network Structure in TwitterLuca Rossi
This document summarizes a study analyzing Twitter data during a 6-hour period surrounding an airing of the TV show "X Factor 5" in Italy. The study collected over 22,000 tweets from over 5,000 users, analyzing patterns of retweets, mentions, hashtags, and link sharing. It found that users who were more central in the retweet network were more likely to gain new Twitter followers during the TV show airing. The document considers whether engagement was specific to the Twitter network or the TV show topic. Finally, it discusses potential next steps like analyzing network stability and crisis events on social media.
The document discusses the rise of optimistic approaches to web 2.0 from various theoretical perspectives and also discusses some criticisms of these perspectives. It analyzes power structures in digital media using concepts from Michel Foucault around discipline, surveillance, and the panopticon. Specifically, it views users' activities online as generating information flows to platforms that can continuously monitor users, similar to Foucault's concept of the panopticon prison. The document also critically analyzes Google's use of personal data and control over search rankings and results.
The document discusses the rise of optimistic approaches to web 2.0 from various theoretical perspectives and also discusses some criticisms of these perspectives. It analyzes power structures in digital media using concepts from Michel Foucault around discipline, surveillance, and the panopticon. The document argues that a Foucauldian lens can help understand the ambiguous role of users and how their horizontal interactions still generate vertical flows of information to platforms. It provides examples analyzing power in entities like Google.
Talk given at MediaMutation 3 Conference, Bologna, 25th May 2011
Abstract
In the Web 2.0, traditional audiovisual narratives such as Tv series are evolving. This is the case of
Glee (Fox, 2009 - present), a musical teen dramedy that exploit the opportunities of YouTube to engage audience in a open ended process of spredability. In fact, Fox distributes on YouTube both
Glee music clip and previews in Official Channels. At the same time YouTube users appropriate and
re-work professional produced content to fulfil they personal needs.
This new scenario rises a whole new set of research questions: which kind of social structures
emerges around YouTube videos? Does fans interact in the same way on Official Channels and in
Fan Channels? Which YouTube videos stimulate more fans interaction through comments. With the
aim to answer to those question we combined a Social Network Analysis (SNA) with a content analysis of both YouTube videos and user’s comments. Glee related videos became a social space
where both fans and anti-fans interact but they don’t seem to construct any kind of stable social relationship. In order to observe the emergence of disperse audience, we map the YouTube network of
users that comment the video to see how this network participates or does not participate in the ongoing conversations about Glee’s videos. At the same time we have mapped all the interactions occurring between fans and anti-fans and we have identified several typologies of comments.
The major research results that will be discussed in our paper will be: the analysis of the comments
and textual interactions and their role within the YouTube social practices, the analysis of the videos
and their ability to start different kind of social interactions, a reflection upon the new relationship
between fans and anti-fans that emerges in YouTube as a consequence of the “collapsed context”
between fan cultures and generalistic audience.
Luca Rossi from the University of Urbino presented on social gaming in the context of social networks. He discussed how social games allow people to play together with their real-world friends and family using social network infrastructure, returning games to their roots of being played with people you know. Rossi hypothesized that specific game structures work better with specific underlying social structures, with competition encouraging closed groups and cooperation encouraging open groups. Preliminary data was presented from games like Biggest Brain and Pet Society that showed people tended to stay within their networks and share achievements rather than add new friends or invite existing friends when playing cooperative games.
Information propagation in Microblogging SitesLuca Rossi
This document summarizes a study of how information propagates on the social networking site Friendfeed. It analyzed over 10 million posts from September 2009 to track how news of Mike Bongiorno's death was shared. The study found both explicit news sharing and implicit discussion contributed to propagation. Short propagation chains had few shares while long chains spread the news more widely. The study also compared how quickly Friendfeed users learned of the news versus major Italian newspapers. It questions if social networks represent a new form of mass media.
Sentiment analysis has potential for researching relationships and connections between audiences and media products online. The presented research project applies sentiment analysis techniques to Italian television programs and contents by constructing a lexicon and analyzing blogs and tweets. While sentiment analysis can quantify subjective opinions at scale, it is important for researchers to consider questions around context, social bonds, influential users, and the impact of opinions rather than just identifying positive or negative sentiments. The role of algorithms versus ethnographic analysis is also discussed.
This document proposes new social metrics for analyzing online conversations on social media platforms. It discusses metrics that measure aspects of social interactions like information propagation, how users engage in conversations, and language use, going beyond traditional network structure analyses. Examples of proposed metrics include the conversation index, out of network conversation measure, and language fidelity index. The document argues that these new social metrics can provide insights into users' social practices and how information spreads through both stable and unstable connections on social networks.
The document summarizes analysis of the most discussed images on the Italian FriendFeed network from September 6th to September 19th 2009. It found that of the top 100 most commented entries, 3895 comments were generated from images. Self portraits comprised a large portion of the images and tended to generate supportive and complimentary comments from other users. Images of people, objects, screenshots, and evidence also featured prominently in the most engaged with posts. The findings suggest images and videos have a significant impact on driving comments and engagement on the social network.
This document analyzes news propagation on the social networking site Friendfeed using data from September 2009. It finds that news of the death of Italian TV host Mike Bongiorno spread rapidly, with the first post receiving 130 comments and later posts totaling 585 comments as the story was discussed and shared. The propagation followed identifiable paths through major hubs on the network. The analysis suggests social networks may represent an evolution of traditional mass media, as users decide what information to spread and discuss rather than passively receiving pre-selected news.
7. La puntata ‘ It’s the end of the world ’ viene trasmessa dopo il Super Bowl. Risultato: 38,1 milioni di telespettatori . Grey’s Anatomy ha uno spin-off: Private Practice .