Blog Archives

Analyzing toxicity in social media posts with a custom dictionary

To examine how many posts in your dataset contain toxic words or phrases, you can use a pre-compiled dictionary of toxic terms and swear words, developed as part of the following publication: K. Hazel Kwon, & Anatoliy Gruzd. (2017). Is

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How to use SentiStrength to analyze tweets collected with Netlytic

Note: the instructions are tested on a PC computer with Windows 10 and Microsoft Office 365. In Netlytic (under My Datasets), download one of your Twitter datasets from Netlytic to your computer as a CSV file: Open the downloaded dataset

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How to use Twitter’s Advanced Search Operators

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Tutorial: Exploring #ExploreCanada via Social Network Analysis (SNA)

Dataset Type: a CSV file containing messages from Twitter Step 1: Download the practice dataset to your computer: ExploreCanada.csv  Step 2: Login to  with your Google or Yahoo ID (or create a “standard” account) Step 3: Import the sample dataset from Step 1

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Tutorial: Social Media Data Collection & Network Analysis with Netlytic and R

URL: https://docs.google.com/document/d/1_EH30ycPj2r6t0vH1QSSBjKJ209qq7-nwz2zAJno8Mk/pub?embedded=true

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Tutorial: Analyzing Conversations about #SMSociety15 on Twitter

By the end of this tutorial you will learn how to create videos of dynamic networks like this one: PART 1: Network Discovery in Netlytic Data source: Twitter Step 1: Connect your Twitter account to Netlytic Note: Alternately, you can download the

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Tutorial: Analyzing Conversations about #Blackberry on Twitter

Topic: Conversation about #blackberry on Twitter Data source: Twitter Dataset: http://bit.ly/blackberry14 Step 1: Connect your Twitter account to Netlytic Step 2: Go to https://twitter.com/search-advanced and create a test search query. For today’s tutorial, type “#blackberry” into the “Any of these words”

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Tutorial: Analyzing Conversations about #Ebola on Twitter

Data source: Twitter Step 1: Connect your Twitter account to Netlytic Note: Alternately, you can download the “Ebola” dataset that will be used for this tutorial from  https://docs.google.com/spreadsheet/pub?key=0AilmXl-I6ZWkdHlsZElNWFZsNG9qM0pqZ3JhcGstaEE&single=true&gid=0&output=csv  Step 2: Go to https://twitter.com/search-advanced and create a test search query. For today’s tutorial,

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Tutorial: Studying Collaborative Learning with Twitter (CSV files)

Dataset Type: a CSV file containing messages from Twitter Step 1: Download the CCK11 dataset to your computer LASI_CCK_11_Twitter – sample.csv Sample dataset Notes: This dataset contains a sample of public tweets posted by participants in a Massive Open Online Course

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