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Today may be Cyber Monday, but it's also time for "Monday Night Football." Week 12 of the 2022 NFL season concludes tonight with the Pittsburgh Steelers (3-7) facing off against the Indianapolis Colts (4-6-1). But this week's Monday NFL game won't be broadcast over-the-air by ABC. Tonight's "MNF" matchup is happening on ESPN and ESPN Desportes. Here's what you need to know to stream tonight's "Monday Night Football" game on your phone and home television, even if you don't have a cable provider. CLICK TO LIVE WATCH FREE CLICK TO LIVE WATCH FREE This article will cover ways to stream the Pittsburgh Steelers vs. Indianapolis Colts game on FireStick. The following options apply to Fire TV products: FireStick 3rd Gen, FireStick 4K and 4K Max, Fire TV Lite and Cube, and TVs with Fire OS. I will also cover paid, cheaper and free streaming options for this match. Read to the end to learn more By the end of October, the NFL’s victory margin was approximately 8.9 points, the lowest in its history. This trend could be better for the competitive spirit of the game. It also means that predicting outcomes has been tougher this season. As of mid-October, 10 teams are 3-3. This season, dominant teams have crushed while several underrated teams have thrived. The Steelers win against the New Orleans Saints has had a significant impact on their 2022 season. There were doubts about their playoff spot. But, after this performance, they have a decent chance. As it stands, a Steelers win against the Colts is achievable. But we’ll have to wait for the match’s outcome to confirm they are back to full strength. ........... Due to the relevance of the COVID-19 global pandemic, we are releasing our dataset of tweets acquired from the Twitter Stream related to COVID-19 chatter. Since our first release we have received additional data from our new collaborators, allowing this resource to grow to its current size. Dedicated data gathering started from March 11th yielding over 4 million tweets a day. We have added additional data provided by our new collaborators from January 27th to March 27th, to provide extra longitudinal coverage. Version 10 added ~1.5 million tweets in the Russian language collected between January 1st and May 8th, gracefully provided to us by: Katya Artemova (NRU HSE) and Elena Tutubalina (KFU). From version 12 we have included daily hashtags, mentions and emoijis and their frequencies the respective zip files. From version 14 we have included the tweet identifiers and their respective language for the clean version of the dataset. Since version 20 we have included language and place location for all tweets. The data collected from the stream captures all languages, but the higher prevalence are: English, Spanish, and French. We release all tweets and retweets on the full_dataset.tsv file (1,371,993,942 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (355,691,266 unique tweets). There are several practical reasons for us to leave the retweets, tracing important tweets and their dissemination is one of them. For NLP tasks we provide the top 1000 frequent terms in frequent_terms.csv, the top 1000 bigrams in frequent_bigrams.csv, and the top 1000 trigrams in frequent_trigrams.csv. Some general statistics per day are included for both datasets in the full_dataset-statistics.tsv and full_dataset-clean-statistics.tsv files. For more statistics and some visualizations visit: http://www.panacealab.org/covid19/ More details can be found (and will be updated faster at: https://github.com/thepanacealab/covid19_twitter) and our pre-print about the dataset (https://arxiv.org/abs/2004.03688) As always, the tweets distributed here are only tweet identifiers (with date and time added) due to the terms and conditions of Twitter to re-distribute Twitter data ONLY for research purposes. They need to be hydrated to be used. |
