Taking advantage of Twitter data to investigate sentiments towards environmental issues during the 2016 U.S. presidential election.
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1 Taking advantage of Twitter data to investigate sentiments towards environmental issues during the 2016 U.S. presidential election. Big Data in Psychology Conference Trier, Germany Dr. Christian Mumenthaler Consumer Decision & Sustainable Behaviour Lab
2 Big Data, Why Twitter? 14% Daily Active Users Growth 11% 7% 4% 328 Millions of Active Users APIs Q Q Q Q Q DATA 2 Christian Mumenthaler Big Data in Psychology 2018 DATA SOURCE: TWITTER'S QUARTERLY PRESS RELEASES
3 Twitter APIs? GET followers GET friends GET statuses/user_timeline GET trends/place GET users/lookup GET search/tweets 3 Christian Mumenthaler Big Data in Psychology 2018 API reference index:
4 Twitter APIs? GET followers GET friends GET statuses/user_timeline GET trends/place GET users/lookup JSON FILE GET search/tweets 4 Christian Mumenthaler Big Data in Psychology 2018 API reference index:
5 Twitter APIs? GET followers GET friends GET statuses/user_timeline GET trends/place GET users/lookup GET search/tweets JSON FILE 5 Christian Mumenthaler Big Data in Psychology 2018 API reference index:
6 Twitter APIs? GET followers GET friends GET statuses/user_timeline GET trends/place GET users/lookup GET search/tweets Returns a collection of relevant Tweets matching a specified query Please note that Twitter s search service and, by extension, the Search API is not meant to be an exhaustive source of Tweets. Not all Tweets will be indexed or made available via the search interface 6 Christian Mumenthaler Big Data in Psychology 2018 API reference index:
7 Limitations #panamapapers 400K Search API K Christian Mumenthaler Big Data in Psychology 2018
8 Limitations #panamapapers 1'400K Firehose Search API K Christian Mumenthaler Big Data in Psychology 2018
9 Limitations #panamapapers 1'400K Firehose Search API K Morstatter, Christian Mumenthaler Big Data in Psychology 2018
10 Solution GET followers date x timeline date y Get relevant tweets GET timelines 8 Christian Mumenthaler Big Data in Psychology 2018
11 Research Question Measure sentiments towards environmental issues during the 2016 U.S. presidential election date x timeline date y Get relevant tweets 8 Christian Mumenthaler Big Data in Psychology 2018
12 Research Question Measure sentiments towards environmental issues during the 2016 U.S. presidential election From July 2016 to July 2017 timeline date x date y Climate change related tweets Volume Affect 8 Christian Mumenthaler Big Data in Psychology 2018
13 Network Analysis Trump Republican Party ~10M followers 800K followers Clinton Democrat Party ~ 8.5M followers 600K followers 9 Christian Mumenthaler Big Data in Psychology 2018 NETWORK BASED ON DATA COLLECTED ON SEPTEMBER 2016
14 Network Analysis Trump Republican Party ~10M followers 800K followers Republicans 70K users timeline Clinton Democrat Party ~ 8.5M followers 600K followers 9 Christian Mumenthaler Big Data in Psychology 2018 NETWORK BASED ON DATA COLLECTED ON SEPTEMBER 2016
15 Network Analysis Trump Republican Party ~10M followers 800K followers Democrats 60K users timeline Clinton Democrat Party ~ 8.5M followers 600K followers 9 Christian Mumenthaler Big Data in Psychology 2018 NETWORK BASED ON DATA COLLECTED ON SEPTEMBER 2016
16 Volume of tweets related to climate change Republicans (~ 35K tweets) Democrats (~ 90K tweets) Debates Election Day 11 Christian Mumenthaler Big Data in Psychology 2018
17 Volume of tweets related to climate change Republicans (~ 35K tweets) Democrats (~ 90K tweets) Withdraw Paris Agreement Nomination EPA 11 Christian Mumenthaler Big Data in Psychology 2018
18 Volume in context Republicans ( ~ 35K tweets) Democrats (~ 90K tweets) Climate change Migration Republicans ( ~240K tweets) Democrats (~ 180K tweets) 12 Christian Mumenthaler Big Data in Psychology 2018
19 Volume in context Climate change Migration Withdraw Paris Agreement Migration Climate change Republicans Jul 2016 Jan 2017 Jul st Debate Nomination EPA Withdraw Paris Agreement Migration Climate change Democrats Jul 2016 Jan 2017 Jul Christian Mumenthaler Big Data in Psychology 2018
20 Affect in tweets Sentiment Analysis LIWC 1 Emotional Tone 99.0 (positive tone) 1.00 (negative tone) 13 Christian Mumenthaler Big Data in Psychology Linguistic Inquiry and Word Count (LIWC); Pennebaker et al., 2015
21 Affect in tweets Republicans Democrats Election Day + 11% CI [+4%, +23%]. Bayesian one-sided tail-area probability p = % CI [-18%, -8%]. Bayesian one-sided tail-area probability p = Christian Mumenthaler Big Data in Psychology 2018
22 Affect in tweets Republicans Democrats +11 % p = Climate change -13% p = % p = Migration - 7 % p = Christian Mumenthaler Big Data in Psychology 2018
23 Election Day Republicans Democrats 16 Christian Mumenthaler Big Data in Psychology 2018
24 Conclusions Insights on human behaviour 2016 U.S. presidential election Polarisation of Attitudes toward Climate Change Acquisition Preprocessing Analysis Insights 17 Christian Mumenthaler Big Data in Psychology 2018
25 Thank you very much for your attention Dr. Christian Mumenthaler Consumer Decision & Sustainable Behaviour Lab 18 Christian Mumenthaler Big Data in Psychology 2018
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