class: center, middle, inverse, title-slide # MSCH-C101 ## Friday Discussion Session ### Hongtao Hao ### Media School, IU ### 2020-01-24 (updated: 2020-05-25) --- class:inverse background-image: url(https://media.giphy.com/media/d4gmlMeqAHu9O/giphy.gif) --- class: inverse background-image: url(https://media1.giphy.com/media/Sr3Tm4BnEJlyupGbSd/giphy.gif?cid=790b76115e6d803f11c5f13517c9178d1fcf45537ad472e1&rid=giphy.gif) background-size: 20% background-position: 90% 20% # Today's Schedule - Attendence checking - Introduce Media Placement Exam - A short quiz (not scored, just for fun) - Review previous classes - Discuss media journal assignment (if time allows) - What's Next --- class: inverse background-image: url(https://media.giphy.com/media/l1AszGIffxReZ8lS8/giphy.gif) background-size: 50% <!-- roll call --> # Let's begin with roll call --- class:inverse # Media Placement Exam - Time: Next Friday (Jan. 31st, 2020) Discussion Session - Place: Here - Study resources: 1. [**MPE study info**](/files/2-week/MPEstudyinfo.docx) 2. [**J200 AP Basics**](/files/2-week/J200 AP BASICS.docx) --- class: inverse background-image: url(/media/kahoot-2-week.svg) background-size: 35% # Quiz Time! 5 mins # Pin: 2913500 --- class: inverse background-image: url(https://media.giphy.com/media/qxsgm2X2Fb5WE/giphy.gif) background-size: 50% # Let's review previous classes --- class: inverse # 1st week, Wednesday (Class) -- # Key Point 1.1: Some wrong comments: - Media is biased - Too much violence in the media - Too much media usage make people anti-social - ... - All in all, **technology** is not the problem. It is **how people use it** that causes problems. --- class: inverse # Key Point 1.2: "media" and "the media" Difference between "media" and "the media": - The media: people will associate negative things with "the media" - Media is a plural of medium. It is wrong to term the "media" so broadly. We should be more specific in identifying type of media: 1. News or information media 2. Entertainment media 3. Social media 4. ... - We should know that these categories are based on their **purpose**. --- class: inverse # Key Point 1.3: profiting or informing - The primary goal of media companies is to make **profits**. - For journalists, there is a clash between **making money** and **informing the public**. --- class: inverse # 2st week, Wednesday (Class) -- # Key Point 2.1: Definition of Media Literacy > Media Literacy is the ability to access, analyze, evaluate, create, and act using all forms of communication.¹ .footnote[ [1] [National Association for Media Literacy Education](https://namle.net/publications/media-literacy-definitions/) ] --- class:inverse # Key point 2.2: Different interpretations - Once you post your material, audiences will interpret in their own ways. --- class: inverse # Key point 2.3: Key terms of media literacy - Media literary: transforming information into knowledge - Some key terms: 1. Law of closure; 2. Filter buble; 3. Confirmation bias; 4. Information satisficing --- class: inverse background-image: url(https://image.slidesharecdn.com/thelifecycleofawireframe-090602113915-phpapp02/95/the-life-cycle-of-a-wireframe-41-728.jpg?cb=1243987916) background-size: 60% background-position: 50% 60% # Key point 2.3.1 Law of closure .footnote[ [1] Photo source: [Nick Finck](https://www.slideshare.net/nickf/the-life-cycle-of-a-wireframe-1522564/41-Law_of_ClosureThe_mind_may) ] --- class: inverse background-image: url(https://public-media.interaction-design.org/images/uploads/66985254480f1c4d4a98062b2ca74566.jpg) # Key point 2.3.1 Law of closure, continued .footnote[ [1] Photo source: [Interaction design foundation](https://www.interaction-design.org/literature/article/the-laws-of-figure-ground-praegnanz-closure-and-common-fate-gestalt-principles-3) ] --- class: inverse background-image: url(https://1en0al1t8r7m228qxv48syc7-wpengine.netdna-ssl.com/wp-content/uploads/sites/13/2019/10/filter-bubble-v2.png) background-size: 40% background-position: 90% 70% # Key point 2.3.2 Filter bubble >It refers to the results of the algorithms that dictate what we encounter online.¹ >It is the media world we create where we only see and interact with things and people we already like. With or without our knowledge.² .footnote[ [1] Source: [Farnam Stree](https://fs.blog/2017/07/filter-bubbles/) [2] Source: [Crash Course Media Literacy #11](https://www.youtube.com/watch?v=Be-A-sCIMpg) [3] Photo source: [Prime Times](https://www.edmontonprimetimes.com/article/were-trapped-inside-our-filter-bubbles-20191002) ] --- class: inverse background-image: url(/media/one-day.png) .footnote[ [1] Cropped from: [BBVA: What is Filter Bubble?](https://www.bbva.com/en/what-is-the-filter-bubble/) ] --- class: inverse background-image: url(https://media.giphy.com/media/Heq8UNomZv9pS/giphy.gif) background-size: 35% background-position: 90% 80% # Key point 2.3.3 Confirmation bias > the tendency to gather evidence that confirms preexisting expectations, typically by emphasizing or pursuing supporting evidence while dismissing or failing to seek contradictory evidence.¹ .footnote[ [1] [American Psychological Association](https://dictionary.apa.org/confirmation-bias) ] --- class: inverse # Key point 2.3.4 Information satisficing satisficing: sufficing + satisfying > Satisficing describes a decision-making strategy where individuals only search for possible solutions until they find an acceptable option. ... do not go through all information on webpages and other products. Rather, they stop reading once they believe they have found enough information for their purpose.¹ .footnote[ [1] [Source: Interaction design foundation](https://www.interaction-design.org/literature/topics/satisficing) ] --- class: inverse # Key point 2.4 Definition-Access - Old times: access or lack of access to radio, newspaper, TV sets, ... - Now: digital divide --- class: inverse # Key point 2.5 Definition-Analyze > The foundation of media analysis is acknowledging that all media is constructed with a purpose and a particular point of view ¹. Steps of analysis²: 1. who created this message and what is the purpose? 2. What techniques does it use to attract and hold attention? 3. what lifestyles, values and points of view does it depict? 4. How might different people interpret this message? 5. What is omitted, or left out? .footnote[ [1] Source: [Crash Course Media Literacy #11](https://www.youtube.com/watch?v=Be-A-sCIMpg) [2] Proposed by [Renee Hobbs](https://mediaeducationlab.com/about/renee-hobbs) ] --- class:inverse # Key point 2.6 Definition-Evaluate **Evaluation: Quality & Credibility** 1. Relevance (Revevant to what you are looking for?) 2. Accuracy (What is the source? citing scientists? or any authority?) 3. Bias (some one's perspective) 4. Reliability (How trustworthy a publisher or author is based on the entirety of their work) --- class: inverse # Key point 2.7 skepticism not cynicism - Towards media, have skepticism but not cynicism - Being Skeptical means approaching everything by questionning its truth. Every ad, every song, every book, every article. Everything. (from Material) - Follow your perpection of bias and textual analysis skills, rather than your "gut". (from Material) --- class: inverse # Key point 2.8 media literacy in the future (from Material) - Data literacy - Algorithmic literacy --- class: inverse # Key point 2.8 media literacy in the future (continued) - Data literacy deals with understanding and analyzing data. - What is data: Information about the world that is stored in a specific format. - Algorithmic literacy is knowing that any information you see online is only one slice of the pie, and one that's been cut specifically for you. - Data literacy and algorithmic literacy often go hand in hand. --- class:inverse # Discuss media journal assignment --- class: inverse # What's next - Monday (1/27) class theme: Media use, ownership, economy - Wednesday (1/29) guest speaker: Dean James Shanahan - Read [*McChesney: "Policing the Unthinkable"*](/files/2-week/McChesney.pdf) before Monday class - Take Media Placement Exam next Friday (1/31) here. --- class: inverse, center, middle # Thanks! Slides created via the R package [**xaringan**](https://github.com/yihui/xaringan). Slides source codes can be found [**here**](/slides/2nd-week-slides.Rmd).