Social Web Instructor: Prof. Evangelos Karapanos ekarapanos@uma.pt
Why are you here?
To learn!
What s the best way to learn?
How much do you recall? 100 80 90 75 60 40 50 20 0 5 10 Lecture Reading Discussion Experience Teach Others
How much do you recall? 100 80 90 75 60 40 50 20 0 5 10 Lecture Reading Discussion Experience Teach Others
Course Objectives
Course Objectives Introduce students to the theoretical aspects of how online communities operate
Course Objectives Introduce students to the theoretical aspects of how online communities operate Help students identify those characteristics that make social websites succeed or fail
Course Objectives Introduce students to the theoretical aspects of how online communities operate Help students identify those characteristics that make social websites succeed or fail Research selected topics in social web
Course Objectives Introduce students to the theoretical aspects of how online communities operate Help students identify those characteristics that make social websites succeed or fail Research selected topics in social web Critical thinking and writing, presentation skills
Reading course This course is a reading course. This means you have to READ and WRITE Every week! There is no textbook There is no exam!
Grading Lecture(s) 20% Classroom & online participation 20% Each class you miss will cost 5% Term project 60%
Lecture(s) 20% Each week, one of you --the Lecturer-- will be responsible for teaching everyone else The lecturer must post a summary of the topic to our forum 72 hours before the lecture http://ekarapanos.com/forums/
Lecture(s) 20% 2 lectures per day On the day of your lecture, you must give a 30-40 minute presentation on the topic Followed by 20-30 minutes of discussion
Classroom & online participation 20% Participating in class: questions, comments, etc. Participating in forum: replies, follow ups, etc. In general, the EFFORT you put in
Term project: 60% You will work in teams You will develop a research proposal grounded in prior research At the end of the semester, you will report your work in a 10-page report.
Example Contributing to popular or upcoming social networking sites? A comparative study on users motives Do contributors of upcoming SNS share the same motives with contributors to existing popular SNS? This study will seek to identify these motives with the aim to address the question of 'how can we bootstrap a new SNS'? Users of Facebook and Google+ will be asked to reminisce their more recent post. They will be asked to narrate in free-text their motives for these contributions as well as respond to a set of questionnaires (e.g. basic human needs, see Hassenzahl, 2010). Related literature Marc Hassenzahl, Sarah Diefenbach, Anja Göritz, Needs, affect, and interactive products Facets of user experience, Interacting with Computers, Volume 22, Issue 5, September 2010, Pages 353-362, ISSN 0953-5438, 10.1016/j.intcom.2010.04.002. Adam N. Joinson. 2008. Looking at, looking up or keeping up with people?: motives and use of facebook. In Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems (CHI '08). ACM, New York, NY, USA, 1027-1036.
Project deliverables Sept 30: Individual presentations of initial research proposals (10 mins presentation) October 13: Research proposal and motivation (max 2 pages): 5% October 27: Background and literature review (max 3 pages): 15% November 10: Research methods description (max 2 pages): 15% December 1: Attained results (max 4 pages): 15% December 15: Final report (max 10 pages): 5% December 15: Presentation and poster: 5%
Weekly activities Monday Tuesday Wednesday Thursday Friday Saturday Sunday
Weekly activities Monday Tuesday Wednesday Thursday Friday Saturday Sunday Lecture and Discussion
Weekly activities Monday Tuesday Wednesday Thursday Friday Saturday Sunday Lecturer Comments Lecture and Discussion
Weekly activities Monday Tuesday Wednesday Thursday Friday Saturday Sunday Lecturer Comments Students Comment Lecture and Discussion
Weekly activities Monday Tuesday Wednesday Thursday Friday Saturday Sunday Lecturer Comments Students Comment Lecture and Discussion THESE ARE DEADLINES: YOU SHOULD COMMENT EARLIER
Feedback You can expect the following feedback from me: Responses to your critique. Questions to consider Corrections to your critique Comments about your presentation
Lecture class Studio class Week 1 22 Sept Course overview No class Week 2 29 Sept Presentations - Initial research proposals no class Week 3 6 Oct Tutorial: Quantitative data analysis with R Studio class Week 4 13 Oct Project progress No class Week 5 20 Oct Tutorial: Social network analysis with Gephi Studio class Week 6 27 Oct Motivations for Social Networking Studio class Week 7 3 Nov Awareness systems Studio class Week 8 10 Nov Online games and virtual worlds Studio class Week 9 17 Nov Crowdsourcing Studio class Week 10 24 Nov Self-disclosure Studio class Week 11 1 Dec no class - public holiday Studio class Week 12 8 Dec no class - public holiday No class Week 13 15 Dec Final presentations Presentations
Topic assignments Sign up on the FORUM Preliminary assignment of topics Now! Studio classes: Friday 2pm @ sala 6.
For next week Read papers and post comments Finalise your lecture topics: swap (via forum) Propose one or more project ideas. Identify the main research question and its design-relevance, experimental design and controlled variables, what and how will be measured Post ASAP to forum, comment on each others ideas. Next week we will define groups based on common interests. Prepare a couple of slides on each EMAIL ME YOUR SLIDES BY Thursday (ekarapanos@uma.pt?subject=socialweb)
Resources Forum: http://ekarapanos.com/forums/ Syllabus: http://ekarapanos.com/courses/socialweb Instructor email: ekarapanos@uma.pt?subject=socialweb