05 mediaandtheaudience
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The document discusses how audiences are viewed by media researchers and the media industry. Media researchers see audiences as complex webs of social relationships, not uniform masses. The industry has shifted from seeing audiences as masses to recognizing niche groups. Now audiences are seen as connected and convergent, interacting across networks constantly. The industry works to attract audiences through appealing to interests, promoting across media, and conditioning viewing habits through reinforcement.
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Public Relations & Public Affairs presentation for the San Francisco Chapter of the New Leaders Council.
The New Media Landscape
The document provides an overview of strategic communications and interacting with the media. It discusses the changing media landscape, importance of developing a communications strategy, and outlines steps for effective media interaction. These include understanding reporter styles, maintaining message control through bridging and flagging, enhancing delivery with examples and emotion, and being prepared with tested key messages while avoiding guesses or criticism of the media. The goal is to shape public and stakeholder perceptions through strategic, on-message interactions with reporters.
Social Media for Student Social Entrepreneurs
In sheer numbers, youth may be the largest user demographic of social media, but do they know how to use these tools to build relationships, grow a community and build capacity? Delivered to high school students, this workshop combines videos, polls and student voice to learn how to affect change with 21st century tools.
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10 mediaeffectsi
This document discusses media effects and how they occur constantly. It covers several key topics:
1) Media effects are influenced by many baseline factors including developmental maturity, cognitive abilities, knowledge structures, sociological factors, lifestyle, and media exposure habits.
2) Fluctuation factors that also influence media effects include the content of media messages, the context of portrayals, and the cognitive complexity of content.
3) While media effects are always occurring, individuals have some ability to control the media effects process through media literacy and understanding the many factors that influence their own media effects.
08 current status
The document discusses the current state of media including convergence across media platforms through technological and business innovations. It notes general employment trends in the overall workforce size and demographic patterns. It also discusses the prosumer revolution where consumers are producers through platforms like YouTube. The document provides information about an upcoming exam for the class including the format, length, and resources for preparation.
07 mediaecconomics
This document discusses media economics and how different players interact in the media industry. It describes the media industry as a game with consumers, advertisers, and media companies as the main players, each with their own goals. The goal is to maximize value exchange, though each player's definition of value differs. There is conflict between players due to differing goals and limited resources. Media companies try to maximize profits by increasing revenue streams, constructing audiences, and reducing risk, while consumers generally default to following the media but can also adopt media literacy strategies.
06 mediaindustry
This document discusses patterns in the development of different media industries. It describes typical stages in a medium's life cycle as innovation, penetration, peak, decline, and adaptation. Examples are given of industries like newspapers, movies, radio, and television going through these stages. The document also discusses how media researchers and industries view audiences differently and provides examples of audience segmentation. Overall, it examines common patterns in how new media develop, are adopted by audiences, and are later adapted or replaced by new forms of media.
04 mediaandtheindividual
Media literacy is the set of perspectives we use to interpret mass media messages. It involves multidimensional skills to filter messages and construct our own meanings from exposure to media. As audiences, we process information through various tasks like analyzing our exposure, which can range from physical exposure to a message to deeper psychological exposure and conscious attention to the message. Our state of exposure and attention can vary from automatic unconscious exposure to self-reflexive critical analysis of media content and our own interpretations.
03 definingmedialiteracy
Media literacy is defined as a set of perspectives that people actively use to expose themselves to mass media and interpret the meanings of the messages encountered. It is multidimensional, involving cognitive, emotional, aesthetic and moral dimensions, and exists on a continuum rather than as a category. Higher levels of media literacy provide advantages such as a wider appetite for media messages, more self-programming of mental processes, greater control over media, and more informed media creations.
01courseintroduction
This document provides information about the course T205: Introduction to Media & Society. The course meets on Tuesdays and Thursdays from 5:45 pm to 7:00 pm. The instructors are Mark Bell, Ozen Bas, and Ashley Kraus. The course examines how social meaning is constructed through media messages and the impacts of media exposure. Grading will be based on pop quizzes, two papers, three exams, and a final exam. The grading scale ranges from A+ to F.
Googlesociety s12011
The document discusses how the internet and services like Wikipedia and Google have altered and shaped our collective reality by democratizing information and knowledge. It notes how Wikipedia allows open, dynamic, and accumulative consensus to create a shared reality that is agreed upon by many. Meanwhile, Google's search and recommendation algorithms determine what rises to the top and becomes the most viewed or known, further influencing reality. The document questions how these changes impact our individual media lives and realities.
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This study conducted research in the virtual world Second Life to measure motivation activation using the Motivation Activation Measure (MAM). Over 600 participants completed the MAM survey in Second Life, providing over 130,000 data points. Preliminary results found differences in MAM scores between Second Life and previous non-virtual samples, with Second Life participants showing lower defense system activation and higher approach system activation on average. Gender differences and relationships between MAM scores and age were also observed. Conducting research in virtual worlds requires new skills for working with large data sets and literacy of the virtual environment.
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Virtual worlds introduce new risks and opportunities for trust and deception in education. They expand pedagogical networks to include new players like companies, governments, and other residents, increasing vulnerabilities but also opportunities for exploration. By their nature, virtual worlds require risk-taking from both students and teachers to transform understanding and challenge preconceptions of authority and expertise. When encountered together, these risks allow new frontiers of learning to be explored in a safe environment.
Comparing Real and Virtual Quality of Life Data Using a Virtual Assisted Sel...
Please use this to cite presentation:
Bell, M., Castronova, E. & Wagner, G. 2009, May). Comparing Real and Virtual Quality of Life Data Using a Virtual Assisted Self-Interview Method. Presented at 59th Annual ICA Conference , Chicago, Illinois.
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Video games and virtual worlds are emerging forms of digital media and entertainment. Studies show that while video games are often seen as violent and isolating, they can also have cognitive, attitudinal, emotional, and physiological effects on players. However, games like Wii have shown potential benefits by being family friendly and encouraging physical activity and social interaction between players. As these media continue to evolve, more research is needed to understand both their impacts and future applications, including how virtual reality may further blur the lines between games and real life.
Virtual Assisted Self Interview Research
This document discusses using virtual worlds for virtual assisted self interviewing (VASI) surveys. It summarizes past research on online gaming communities and virtual worlds. A beta test of a virtual data collection interface (VDCI) in Second Life had over 70 respondents with positive feedback. Current research is comparing sampling methods and demographics from SL to real world populations. Future research possibilities include surveys conducted in and about virtual worlds to take advantage of low social presence.
Virtual Worlds Research Tools
Virtual worlds provide new tools for research by allowing asynchronous and persistent networked environments where people are represented as avatars. Some new tools enabled by virtual worlds include virtual assisted self-interviewing and virtual data collection interfaces. Experiments can also be conducted in virtual worlds to test ideas in simulated environments like virtual petri dishes.
Definition of Virtual Worlds
The document defines and discusses virtual worlds through three main points:
1. It provides a definition of virtual worlds as synchronous, persistent networks of people represented by avatars and facilitated by computers.
2. It outlines some key facets of virtual worlds including persistence, being multi-user, the use of avatars, and existing within a wide area network.
3. It discusses the evolution and taxonomy of virtual worlds from early text-based environments to modern 3D virtual worlds and social virtual worlds.
Wikipedia BSU Presentation
This document discusses and compares the Encyclopedia Britannica and Wikipedia as knowledge sources that are dependent on technology. It notes that while the EB was first published in 1771, Wikipedia launched in 2001 and has since grown rapidly due to its open wiki model that allows collaborative editing by people. A 2005 study found that Wikipedia entries contained on average 4 inaccuracies while EB entries contained 3, indicating their comparable accuracy. It questions how knowledge is defined and produced in the digital age.
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This document discusses virtual economics and the prosumer model in Second Life. It asks questions about who controls production, distribution, and consumption in Second Life's virtual economy as compared to the real world. It also discusses how the prosumer model empowers users, how it could potentially be exploited, and whether there are "gold farmers" in Second Life similar to other virtual worlds. It relates this virtual economic model to concepts of fun and escapism.
Researching In Virtual Worlds
The document discusses using virtual worlds for research purposes. It outlines four approaches: 1) "Little Experiments" using tailored virtual worlds for specific questions, 2) Creation of new vast virtual worlds, 3) Observation of natural experiments in existing virtual worlds, and 4) Co-creation with the commercial sector. Current work involves surveys, content analysis, and experiments in virtual worlds. Future work is also discussed.
Make More Mistakes
The document discusses the challenges and lessons learned from creating synthetic virtual worlds for research purposes. It describes an initial attempt to create a virtual world called Arden using the Multiverse engine that failed due to lack of resources and platform limitations. The authors then opted to use Neverwinter Nights to fulfill their obligations, calling it Arden 2. They concluded that the most viable approaches for future research are "Little Experiments" using tailored tools for specific questions, observing natural experiments in existing virtual worlds, and collaborating with the commercial sector to co-create worlds. Researchers should expect to make mistakes and focus on learning from smaller experiments.
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05 mediaandtheaudience
- 1. 05 -Media & The Audience They’re watching me!
- 2. Class Business Announcements Congrats! #IUT205 Exam 1: 09/27 Assignment 1: 10/13
- 3. Last time on T205
- 4. Audience
- 6. Analyzing Exposure Physical Exposure + Perceptual Exposure + Psychological Exposure + Conscious Awareness of Message = Attention
- 7. Automatic State Attentional State Transported State Self-Reflexive State
- 8. Today
- 9. How do the media researchers see the audience?
- 10. How does the media industry see the audience?
- 11. Mass audience > Niche audience > Connected convergent audience
- 14. More Media Literate Smarter Consumer Successful Producer
- 15. Audience
- 16. Mass Audience
- 17. Niche Audience
- 18. Something New
- 21. Audience
- 23. Mass Audience
- 24. Not size but type
- 25. 4
- 26. Heterogeneous
- 27. Anonymous
- 28. No interaction
- 30. Industrialization = mass audience
- 31. Western-centric
- 32. Evidence?
- 33. Hitler
- 34. Kate Smith
- 35. War Of The Worlds
- 36. Danger!
- 38. Friedson (1953)
- 39. Complex Web of Social Interrelationships
- 40. No Mass Communication – No Mass Media?
- 41. Niche Audience
- 42. Markets and Producers know there is no mass audience
- 44. Buy Products
- 48. Who is local?
- 49. Current State
- 51. Gender Ethnic Background Age Income Education
- 52. Soap Operas
- 53. Dynamic System
- 55. More than income
- 56. Lower > Middle > Upper
- 59. Neighborhoods
- 60. Prizm
- 63. Demographics Lifestyle Product usage
- 64. Twelve American Lifestyles VALS typology
- 67. 4
- 69. Identified
- 72. Always On
- 73. Always Connected
- 74. Always Talking
- 75. But who is listening?
- 78. Eyeballs
- 81. Appeal to Existing Needs and Interests
- 82. How do you know what the audience wants?
- 83. What is currently popular?
- 85. How many channels do you watch?
- 86. Cross-Media and Cross-Vehicle Promotion
- 88. Silos
- 89. Media Consolidation = Cross media promotion
- 90. Examples?
- 96. How much do you watch?
- 97. Watch?
- 100. Inertia
- 102. Inertia in the age of the control
- 103. Inertia in the age of the DVR
- 104. How do the media researchers see the audience?
- 105. How does the media industry see the audience?
- 106. Mass audience > Niche audience > Connected convergent audience
- 108. What is the Mass Media Industry?