Tutorial at the RENDER Kick-off Meeting, Jozef Stefan Institute

1. Defining Diversity
Marko Grobelnik
Jozef Stefan Institute

2. Wikipedia on Diversity

3. Dictionary definition

4. What could be diversity in RENDER?
o RENDER is a lot about
• Communication between people,
• …documents of different kinds,
• …their usage, and
• …in particular, their perception
o Informally speaking, RENDER is in many ways dealing
with modeling of “soft” issues within (mostly textual)
communication

5. Attempt to structure the notion of “diversity” within
RENDER
o Who are the main “actors” within RENDER scenarios?
• Publishers producing content
Main stream news, blogs, forums, twitter, …
• Users producing usage data
Passive readers, Prosumers (consumer/provider)

6. Diversities coming out of “content”
o Topic o Knowledge
• What topic is text about? • Fact coverage (difference in
(categorization, segmentation) sources)
o Social
• Relationship extraction (how
• Who is writing? (publisher, author) entities are related)
• Who is being written about? (people,
organizations) o Cross-lingual / Multi-lingual
• Influence • What language is being used?
o Geographical • Cross-lingual story linking
• Where the content was produced? o Context
• Which geography is being • Temporal context (story linking,
addressed? discussion threads, trends in
o Opinion other dimensions)
• Sentiment (positive/negative/neutral) • Background knowledge
• Opinions (beyond polarized sides) (knowledge bases, ontologies,
• Reporting bias (differences) …)
• Contrasting with other sources
(e.g. main-stream vs. twitter)

7. Diversities coming out of “usage”
o Demographic context
• Who is the user? (age, gender, job, income)
o Topic
• What are user interests? (predefined, calculated)
o Geography
• Where a user is coming from? (home, accessing)
o Access method
• How a user is accessing data? (web browser, mobile, forum, phone, email)
o Social context
• With whom a user is connected to? (social network, communication)
o Time
• When a user is accessing information (absolute, day of week, hour of day)
o Historical
• What a user was doing in the past?
• How user activities change trough time? (trends)