Reddit meme

Reddit is a social news aggregation website that ranks content based on a scoring system determined by user votes.

Applied Network Science volume 6 , Article number: 21 Cite this article. Metrics details. Internet memes have become an increasingly pervasive form of contemporary social communication that attracted a lot of research interest recently. In this paper, we analyze the data of , memes collected from Reddit in the middle of March, , when the most serious coronavirus restrictions were being introduced around the world. This article not only provides a looking glass into the thoughts of Internet users during the COVID pandemic but we also perform a content-based predictive analysis of what makes a meme go viral.

Reddit meme

.

An AMA by a fired employee of Reddit named Dacvak explaining how he was fired due to cancer was deleted by Dacvak along with all his replies, reddit meme. Words that have fewer than 3 characters and stopwords were removed.

.

The last few months have been quite the doozy, with Elon Musk seemingly on a mission to make Twitter a progressively worse platform, a Congressional hearing feeding into the widely held belief that UFOs are real and we can't forget the long-awaited release of Barbenheimer on streaming platforms. It's safe to say that the last few months were definitely moments to be remembered in the history books, and most definitely filled with memes on every topic mentioned. That is just the nature of the online world! This collection contains some of the most hilarious memes from the subreddit from the past few months, we hope they can bring you as many laughs as they do for the millions of Redditors that frequent the site. Source: Reddit.

Reddit meme

It's finally December, and has been a year to remember. Now that this chaotic year is coming to a close, it's time to look back on this year's major events and major memes to remember what made us laugh and why. To best recap this year's chaos, we're turning to some of the top-voted images from the online community, as chosen by Redditors worldwide.

Cute paintings easy

While the term is believed to have been coined on the tech news site Slashdot as early as in January , it is equally applicable in the context of Reddit. These features tended to have significant predictive power in the machine learning models. Consistently, the models predicted a larger proportion of positive labels than was realistic for the data set despite the measures we took. The 7 word categories can be viewed in Table 2. Commun ACM 60 6 — Both models predicted labels on the test set with an AUC of around 0. Comput Vis Pattern Recogn — No self posts are allowed unless they contain discussions about the subreddit. The distribution of the normalized upvotes for dank and not dank memes. This ability to extract important features means that the CNN is able to identify different levels of image representation and capture the relevant ones in the training data, making this model family especially suitable for computer vision tasks Jogin et al. NB designed the figures and helped supervise the project. KB and EL performed the text analysis.

Infamous Reddit user "shittymorph" talks trolls, the joy of the bamboozle and how crafting clever comments helped him survive a personal tragedy. It goes like this. Someone posts a link, image or question on Reddit.

Loper E, Bird S Nltk: the natural language toolkit. Clues about the actual locations of the hidden boxes were posted in their respective local subreddit communities and their statuses were updated once the packages had been found. View All Sub-entries. Bars that go below 0 indicate that none of that color was present in the dank memes. The models are trained with image-only attributes, text-only attributes, both, and all attributes from Table 1 to show the incremental predictive benefit of these feature groups. Already a memeber? The image depicts a stone-faced Commodus giving a thumbs down and the overlaid text usually conveys dissatisfaction towards a post on a website or forum where a voting system is present, especially on Reddit. Login Now! In Fig. In our model, similar features to those considered by Khosla et al. Although we have experimented with several models and parameters, the model performances show that it is hard to predict the dankness of image-and-text memes using the image content alone.