Natural language processing and social interaction
Image source: Raphael. https://en.wikipedia.org/wiki/The_School_of_Athens
Outline
Natural language & social interaction: through the ages!
Image source: Raphael. https://en.wikipedia.org/wiki/The_School_of_Athens
Natural language & social interaction: through the ages!
Image source: Raphael. https://en.wikipedia.org/wiki/The_School_of_Athens
Natural language & social interaction: through the ages!
Image source: Raphael. https://en.wikipedia.org/wiki/The_School_of_Athens
Direct interaction (decision making, persuasion, relationship maintenance, etc.), synchronous (top) or mediated (bottom right): texts, emails, comment threads, etc.
Image source: Raphael. https://en.wikipedia.org/wiki/The_School_of_Athens
Message spread (and alteration): retweeting, memes, rumors and their effects on people’s opinions
Image source: Raphael. https://en.wikipedia.org/wiki/The_School_of_Athens
Interactions between groups (political, social, interest-driven sub-communities)
Image source: Raphael. https://en.wikipedia.org/wiki/The_School_of_Athens
licensed from the Cartoon Bank
younger me
= you
In our own actual lives
I cannot (instantaneously) …� …have better ideas, or� …become alpha dog, or
…be a dog at all.
See many depressing studies on human interpretation and decision making.
licensed from the Cartoon Bank
me
Does choice of phrasing have any impact?
licensed from the Cartoon Bank
Evil me,
trying to disrupt
Influence can be "good" or "bad"
We should understand rhetoric effects —
sometimes in order to counteract them.
"Moderation" can suppress minority views
licensed from the Cartoon Bank
What if I call out that comment?
rule-breaking comment
me�
We should understand moderation's effects.
That doesn't mean it should be used.
Example of the potential influence of language
The framing of an argument emphasizes certain principles or perspectives.
“One of the most important concepts in the study of public opinion” [James Druckman, 2001]
Framing in GMO debates:
"Frankenfood"
"green revolution"
http://www.ourbreathingplanet.com/control-the-world-through-genetically-modified-food/
A sample conversation
Why NLP + social interaction?
Potential topics (but different papers)
(click through to 2021fa)
This time around: we’ll attempt to focus on work that employs modern NLP techniques.
(Although there is so much good work that isn’t advanced NLP per se!)
(The “interdisciplinary valley”)
Luckily, language modeling has always been a key technology, and now we have better language models!
-> This area has not been “destroyed/solved” by large language models!
Note about style, or, caveats
Is this the right course for you?
Please take a look at the contents of some of the papers on this quick list of sample papers (URLs should be clickable) before deciding on enrollment; if most of them seem completely impenetrable (or uninteresting), this class may not be the right fit for you.
Related classes: see Cornell's NLP course list.
In particular, Spring 2024 courses CS 6741 Topics in natural language processing and machine learning, CS 5740 Natural language processing (Cornell Tech students only), INFO 4940-LEC 006 Advanced NLP for Humanities Research, CS 4744 (and other crosslists) Computational linguistics I, or CS/IS 4300 Language and information may be a better choice for you; they are excellent courses for sure!
Other classes I am less knowledgeable about: GOVT 3282 Data science applications in political and social research.
The webpage from the last time I (Prof. Lee) taught this class may be useful, as might the webpage from the last time I taught a graduate NLP course.
Tentative plans
Besides participation, class grades determined as in CS6740 SP23:
No course project: I expect everyone’s got their own research to focus on in “real life”.
Meeting schedule from LAST YEAR, to get a feeling of the rhythm.
�Readers: aim to have questions highlighted ~1.5 days before presentation date.
Lec 12/M Mar 13 | YG leading “constitutional AI” [notes/links]. Readers: RH, BW |
Lec 13/W Mar 15 | VP leading “automatic chain of thought”. [notes/links] Reader: YG YS for “how many data points is a prompt worth?” [notes/links]. Reader: - |
Lec 14/M Mar 20 | BW leading “probing” [notes/links]. Reader: YS�TY for “Does BERT rediscover…?” [notes/links]. Reader: VP |
Lec 15/W Mar 22 | RH leading “adapting for historical langs” [notes/links]. Reader: TY�YG for “semantic shift/mental health” [notes/links]. Reader: BW |
… | |
Lec 16/W Mar 29 [then spring break!] | YS leading “discriminators, not generators” [notes/links]. YG VP for “prompt tuning for discr” [notes/links]. Reader: RH |
… | |
Lec 17/W Apr 12 | TY leading “Flamingo” [notes/links]. Reader VP RH for leading “CoAuthor” [notes/links]. Reader: YS |
Lec 18/M Apr 17 | BW leading “S4” [notes/links]. Reader: TY |
Next: in-person individual get-to-know-you “interviews”
The “interview” questions: