Finally! Progress on knowing which meme is in fact the dankest. They also analyze the features contributing to or explaining dankosity. https://t.co/hUaXX0kh7c
@RampCapitalLLC I'm case anyone wants the data science behind this phenomenon: https://t.co/GKuJHsRD6m
it's a brand new paper, worth a read if you're interested in this sort of thing: https://t.co/OZPHJmewAW
Dank or not? Analyzing and predicting the popularity of memes on Reddit | Applied Network Science | Full Text https://t.co/5BPRJEJ66F
Not dank https://t.co/ap9Ken6kog
@AreeqChowdhury Y u so lazy... It's open access! Here's the link though: https://t.co/TS7yB0ZK9v
New article: Dank or not? Analyzing and predicting the popularity of memes on Reddit https://t.co/Ayl0IVySNp #coronavirus #COVID19 #2019ncov https://t.co/vL6oTL3KF0
Dank or not? Analyzing and predicting the popularity of memes on Reddit https://t.co/pQsv1P6mwi
Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit https://t.co/pRTOQfhDua
Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit https://t.co/pRTOQf02CC
Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit ダンクかどうか? --Redditでのミームの人気の分析と予測 2021-01-22T08:31:42+00:00 arXiv: https://t.co/qTMGWDvfIS 英/日サマリ↓ https://t.co/XXcJn0za4g
画像とテキストのマルチモーダルもやってて草
草
Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit https://t.co/pRTOQf02CC
https://t.co/jtw2RhX28I Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit. (arXiv:2011.14326v2 [https://t.co/zRwm8Zw7yQ] UPDATED) #NLProc
Frantically researching https://t.co/Ue39S8nN7K
New: Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit https://t.co/deh0qtxrJs read/write/request review https://t.co/RnurTL3DyM #coronavirus #COVID19
Hasta en los memes hay ciencia. Modelo predictivo del exito que tendrá un meme de acuerdo a sus características, mostrando capacidad predictive moderadamente buena 🤷🏻♂️
𝗧𝗶𝘁𝗹𝗲: Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit. 𝗔𝘂𝘁𝗵𝗼𝗿𝘀: Kate Barnes, Tiernon Riesenmy, Minh Duc Trinh, Eli Lleshi, Nóra Balogh, Roland Molontay. https://t.co/Yi1uQVwbMt https://t.co/IDyueOk7OW
Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit. (arXiv:2011.14326v1 [https://t.co/8tL1KR6jmU]) https://t.co/qKAXvBWw5r #sociophysics
Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit https://t.co/pRTOQf02CC
Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit https://t.co/pRTOQfhDua
A nice paper on arXiv by Kate Barnes, Tiernon Riesenmy, Minh Duc Trinh, Eli Lleshi, Nóra Balogh, Roland Molontay. Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit https://t.co/jltaHgtONE. Send by My arXiv app. #machinelearnin
https://t.co/jtw2RhX28I Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit. (arXiv:2011.14326v1 [https://t.co/zRwm8Zw7yQ]) #NLProc
oh no Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit https://t.co/rK5zia6U3c
Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit ダンクかどうか? --Redditでのミームの人気の分析と予測 2020-11-29T09:57:17+00:00 arXiv: https://t.co/OhJSw5oHdk 英/日サマリ↓ https://t.co/9MR68SwxiW
Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit https://t.co/pRTOQf02CC