MAC 325 Lecture Notes - Lecture 18: Filter Bubble, Eli Pariser, Upworthy
26 Jun 2018
School
Department
Course
Professor
Week 5-2 Pariser: The Filter Bubble 3/1/18
“Filter Bubbles”
Networked Gatekeeping
- Type of social filtering
- Crowdsourced elites
- Hashtags
- Function as framing devices
- Frame the conversation
- A lot of hashtags get used for a lot of Social Movements
- Some get used more than others
- Crowdsourced into prominence
- Once a hashtag gets popular, it is very difficult to change it
- Allows users to find others with likeminds
- Affordances of Twitter
- Encourage certain ways of communication in social movements
- Evoke emotion/ humor to make arguments
- Difference from Mass Media Gatekeeping
- Networked gatekeepers are chosen organically
- Sustained interception with public is through Twitter feed
- Universal and communal
Algorithmic Filtering
Builds on Networked Public Sphere
Eli Pariser, filter bubbles (2011)
- Political, digital activism
- Upworthy (2012)
- Promise of the early Internet
- Bridging Capital: Weak Ties
- Parisers Wenry (I think thats what i wrote or i wrote the word ‘worry’)
- Things we don’t want to see
- The algorithm
- What the algorithm thinks we’re interested in other than what we are not
Filter bubble
- Unique universe of information that YOU see when you go online that is designed
to appeal to you
- Groups of people that don’t see outside opinions
-How are filter bubbles created?
- what you look up online, it gathers your information and micro targets you
- super sophisticated algorithms
- reaction to information overload
- making everything personalized can take away aspects of the Internet
Algorithmic Filtering
- Good for business
- Sponsored ads online
Document Summary
A lot of hashtags get used for a lot of social movements. Once a hashtag gets popular, it is very difficult to change it. Allows users to find others with likeminds. Encourage certain ways of communication in social movements. Sustained interception with public is through twitter feed. Parisers wenry (i think thats what i wrote or i wrote the word worry") What the algorithm thinks we"re interested in other than what we are not. Unique universe of information that you see when you go online that is designed to appeal to you. Groups of people that don"t see outside opinions. What you look up online, it gathers your information and micro targets you. Making everything personalized can take away aspects of the internet. Most people don"t realize they are affected and search results are sorted. Shelters people from whats going on in the rest of the world. Cultural irrelevance: very feel good" posts get more feedback than outside issues.
