Production of news content is growing at an astonishing rate. To help manage and monitor the sheer amount of text, there is an increasing need to develop efficient methods that can provide insights into emerging content areas, and stratify unstructured corpora of text into `topics' that stem intrinsically from content similarity. Here we present an unsupervised framework that brings together powerful vector embeddings from natural language processing with tools from multiscale graph partitioning that can reveal natural partitions at different resolutions without making a priori assumptions about the number of clusters in the corpus. We show the advantages of graph-based clustering through end-to-end comparisons with other popular clustering and topic modelling methods, and also evaluate different text vector embeddings, from classic Bag-of-Words to Doc2Vec to the recent transformers based model Bert. This comparative work is showcased through an analysis of a corpus of US news coverage during the presidential election year of 2016.

Citing opinions is a powerful yet understudied strategy in argumentation. For example, an environmental activist might say, "Leading scientists agree that global warming is a serious concern," framing a clause which affirms their own stance ("that global warming is serious") as an opinion endorsed ("[scientists] agree") by a reputable source ("leading"). In contrast, a global warming denier might frame the same clause as the opinion of an untrustworthy source with a predicate connoting doubt: "Mistaken scientists claim [...]." Our work studies opinion-framing in the global warming (GW) debate, an increasingly partisan issue that has received little attention in NLP. We introduce DeSMOG, a dataset of stance-labeled GW sentences, and train a BERT classifier to study novel aspects of argumentation in how different sides of a debate represent their own and each other's opinions. From 56K news articles, we find that similar linguistic devices for self-affirming and opponent-doubting discourse are used across GW-accepting and skeptic media, though GW-skeptical media shows more opponent-doubt. We also find that authors often characterize sources as hypocritical, by ascribing opinions expressing the author's own view to source entities known to publicly endorse the opposing view. We release our stance dataset, model, and lexicons of framing devices for future work on opinion-framing and the automatic detection of GW stance.

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Netflix is taking a swan dive into the Assassin's Creed video game franchise. The streaming TV giant will create a live-action TV series based on the Assassin's Creed series of video games, published by Ubisoft, the two companies announced Tuesday. Netflix may also eventually develop animated and anime series based on the hugely popular franchise, which chronicles a group of assassins' fight throughout history. "We're excited to partner with Ubisoft and bring to life the rich, multilayered storytelling that Assassin's Creed is beloved for," said Peter Friedlander, vice president of original series for Netflix, said in a statement. "From its breathtaking historical worlds and massive global appeal as one of the best selling video game franchises of all time, we are committed to carefully crafting epic and thrilling entertainment based on this distinct IP and provide a deeper dive for fans and our members around the world to enjoy."

That's what I tell myself every night as I try to eradicate the memory of the live-action Assassin's Creed movie. A better brain-wiping solution, perhaps, will be to watch Netflix's newly-announced Assassin's Creed series. The streaming juggernaut has signed a deal with Ubisoft for multiple shows that explore the time-hopping saga. These include a "live-action epic" and "animated and anime adaptations," Ubisoft revealed in a blog post. The live-action series doesn't have a showrunner just yet, but Ubisoft Film and TV's Jason Altman and Danielle Kreinik have been confirmed as executive producers.

Purchases you make through our links may earn us a commission. I don't know about you, but I've never gotten a techy or tech-adjacent gift I wasn't excited about--it's true. Opening up a gift and getting a new pair of headphones or a fun gadget I wasn't expecting is almost always fun, even if it isn't something I thought I wanted. That's the problem with trying to buy a fun new tech gift for a giftee: How do you single out the small margin of great products from the ocean of sub-par stuff? Easy--you check out our picks below. Reviewed tests tech all year long and this list is chock full of our favorite gadgets. Roku's fancy "Ultra" media streaming device has been our favorite for a couple years running now, and for good reason. Processing is snappy and the UI is extremely friendly and intuitive, making it easy to settle in for a night of Netflix (or Hulu, or Amazon Prime, or YouTube, or Twitch, or anything else) without a hitch.