RT @chris_bail: "Social signals predict contemporary art prices better than visual features, particularly in emerging markets" https://t.co….

@SciReports 7/7 Dive into our study for a deeper understanding of how social factors influence art prices and the implications for artists, collectors, and the art market. I appreciate my collaborators for this interesting work! .

@SciReports 6/7 Combining machine learning with expert estimates improved prediction accuracy, demonstrating the potential of human-machine collaboration in art valuation. #AI #ExpertKnowledge.

@SciReports 5/7 🌍 Our analysis also highlights differences between established and emerging markets. In emerging markets, social signals play an even more crucial role, reflecting the uncertainty and evolving nature of these markets. #GlobalArtMarket

@SciReports 4/7 🖼️ Interestingly, visual features alone explained only about 5.5% of the price variance, whereas social metadata explained about 73%! This suggests the critical role of social perception in art valuation. #ContemporaryArt #ArtSales

@SciReports 3/7 🔍 Using a dataset of 34,200 auction sales records from 590 living contemporary artists, we applied machine learning to predict art prices. Social metadata outperformed visual features significantly. #MachineLearning #ArtAuctions

@SciReports 2/7 📊 Our study reveals that social signals, such as an artist's reputation and market dynamics, are much stronger predictors of art prices than visual features. This is particularly true in emerging markets. #ArtValuation #DataScience.

1/7 🎨 Exciting news! Our latest research, published in @SciReports, explores how social signals and visual features impact the valuation of contemporary art. Check out our findings! ..#ArtMarket #Research.

I am speaking at The ACM Web Conference 2024 this afternoon. Please check out my talk if you're attending the event! #TheWebConf24 #www2024 #thewebconf ⁦@TheWebConf⁩

RT @ZhiyuanCS: We are pleased to announce that NUS IDS (Institute of Data Science) NLP-SIG Workshop for TheWebConf 2024 will be held on Fri….

I'm attending The Web Conference 2024 in Singapore. Currently in the room for LLM day. If any of X friends or computational social scientists are here, let's greet and chat! 🙋🏽‍♂️🙌🏾😉 #WWW2024 @TheWebConf #TheWebConf

RT @JisungYoon8: 🚨Personal Update🚨.I am thrilled to share the news that I will be joining the School of Public Policy and Management at the….

RT @inbok_rhee: Excited to share our latest research📚: "Who becomes a civil servant? Evidence from a decade of youth panel analysis" with D….

If you're at #IUI2024 this year, do not miss this awesome talk!!! 😍.

RT @acs_wspc: The deadline for this topical issue is approaching. Submit by April 30, 2024 to be a part of the timely curation on complex s….

RT @alegovini: Great opportunity to join the DIME team as a fellow on government analytics. You are still in time to apply!..

Let me know if you have any questions or ideas for future collaborations! :-).

Gratitude to my co-authors, @yyahn and Seongwoon (@KDI_SCHOOL) for their invaluable contributions. Our paper offers a deep dive into "Labor Space" and its potential to transform labor market analytics. Join us in this academic endeavor, and I'll meet you in #Singapore ! (7/7).

"Labor Space" aims to equip stakeholders with a nuanced understanding of the labor market, fostering informed decision-making. This tool is a step forward in labor market analytics and strategic planning. (6/7) #PolicyMaking

Our approach enables nuanced exploration of economic and technological impacts on the labor market. By leveraging vector arithmetic, "Labor Space" predicts shifts and interdependencies with precision. (5/7)