Top Tweets for #TheWebConf2020
Employers on gig markets sometimes believe conspiracies that workers are scammers. This leads them to write biased reviews.
I presented at the Web Conference our research on using Deep Learning to nudge employers to be fairer:
👉https://t.co/8aIZ72NXHO
#TheWebConf2020 #WWW2020
Another nice news article on our paper: "How GitHub Projects Respond to Increased Attention".
#crowdsource #futureofwork #crowdsourcing #github #TheWebConf2020 #crowdwork #virtualteam #crowds #opensourcesoftware
https://t.co/DSweQyd39G
Nice news article on our paper: "Herding a Deluge of Good Samaritans: How GitHub Projects Respond to Increased Attention" paper. @DanielMRomero @cerenbudak @DanajaT
#futureofwork #crowdsourcing #github #TheWebConf2020 #crowdwork #opensourcesoftware
https://t.co/rXRnD1e66r
Looking for a nice summary of Web Conference papers on Gig Work & Misinformation?
Daniel Querica (@danielequercia), Dept Head at Bell Labs Cambridge, wrote a nice overview. Thanks for covering our research papers!
👉https://t.co/n7wXCgV8Rr
#TheWebConf2020 #WWW2020 #thewebconf
Third talk on vocabulary learning in the wild, with a demo!
(Roland, Lars, @arnaudmiribel @cervisiarius)
- language model + spaced repetitions to optimize learning
- embedded language acquisition via browser plugin
https://t.co/P1NZMVESWK
#TheWebConf2020
First talk on "Open Intent Extraction from Natural Language Interactions"
- Bi-LSTM + multi-head attention + CRF for action/intent identification
- works well even for previously unseen user intents
- 25K intent annotated dataset
https://t.co/8IVxBDhzeE
#TheWebConf2020
Chaired a session on User Modelling at the remote @TheWebConf. We had a fairly interactive session:
- 2 live presentations, 3 pre-recorded talks
- 3/5 authors present for Q&A
- 40+ participants online during the session
Waking up at 3 AM for this was worth it😂
#TheWebConf2020
@AlexanderSpangh just gave a great talk @TheWebConf on his MSR internship work on "Characterizing Search-Engine Traffic to Internet Research Agency Web Properties" together with @gireeja @adamfourney @erichorvitz #TheWebConf2020
Congrats to @AlexanderSpangh, who just presented his awesome internship work on disinformation and web search at #TheWebConf2020
I will be chairing the 4th session of the Health Track in The Web Conference 2020. We have some amazing presentations in the session. I'm excited about it.
Tune in at 1:30 am ET
@TheWebConf
#thewebconf #thewebconf2020 #www2020 #healthOnWeb #HealthTech #VirtualConference
I'm presenting at the Web Conference our research on crowd workers & wages
Many believe we need transparency to help workers earn more. We instead argue that we need "data brokers" to help workers strategically use transparency📈
Paper: https://t.co/SXu8lBDn6g
#TheWebConf2020
Nice article on our paper: "Herding a Deluge of Good Samaritans: How GitHub Projects Respond to Increased Attention" paper.
#crowdsource #futureofwork #crowdsourcing #github #TheWebConf2020
“When you have a team of say 5 people and you get 1,000 external engagements, how do you respond to that?" @danajat's team of UMSI researchers used @github's trending page to analyze how collaborative crowdsourcing projects react to going viral https://t.co/kWgItq6ndV #TheWebConf
"A click log is a privilege not a right", training a neural ranker with selected anchor text and no clicks "Selective Weak Supervision for Neural Information Retrieval" at #TheWebConf2020 https://t.co/ayYAU0ofut
@danielequercia @souzatharsis @TheWebConf If you want to see this data across #Italy, then have a look at the dataviz by @marcoq here: https://t.co/bG204ZUXFc Joint work w/ Daniele Rama @KyriakiKalimeri @yelenamejova @mtizzoni https://t.co/Tz2pcsHynS #TheWebConf #TheWebConf2020 @TheWebConf
We presented at the Web Conf our research that uses machine learning to:
💎detect when an employer is writing an unfair review about a gig worker.
We found that RNN+CNN was the best across gig markets
Code:https://t.co/GMpHEkZoXe
Paper:https://t.co/mOKh4p8KC4
#TheWebConf2020
In our #thewebconf2020 demo, we present how our summarization system, ExtremeReader, allows summaries to be tailored and explored interactively and generates abstractive summaries with an underlying structure. Check out our demo! #thewebconf #www2020
https://t.co/ygcgsF29aE
I'm very proud of Zhengjie Miao's summer internship (mentored by Yuliang Li and Xiaolan Wang of @MegagonLabs) which led to this cool paper on how to extract more text with less labeled data. Recently published at #thewebconf, #thewebconf2020, #www2020.
Our research paper is presented at the Web Conference 2020: Snippext: Semi-supervised Opinion Mining with Augmented Data. This work is done by Zhengjie Miao (Duke Univ.), Yuliang Li, Xiaolan Wang, and @wangchiewtan. #thewebconf #thewebconf2020 #www2020
https://t.co/jAq63d5NhT
Our demo at #thewebconf2020, ExtremeReader: An Interactive Explorer For Customizable And Explainable Review Summarization, starts in one hour at 10:40pm PST.
#thewebconf #www2020
Our research paper is presented at the Web Conference 2020: Snippext: Semi-supervised Opinion Mining with Augmented Data. This work is done by Zhengjie Miao (Duke Univ.), Yuliang Li, Xiaolan Wang, and @wangchiewtan. #thewebconf #thewebconf2020 #www2020
https://t.co/jAq63d5NhT
The Web Conference 2020 started today, and I will be chairing the first session on the Health track. We will have awesome folks presenting their papers.
Tune in at 1:30 am ET.
@hscells @wangpinggl @sebastianarnold @TheWebConf
#thewebconf #thewebconf2020 #www2020 #healthOnWeb
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