sentiment_analysis   326

« earlier    

Mapping the anti-vaccination movement on Facebook: Information, Communication & Society: Vol 0, No 0
Over the past decade, anti-vaccination rhetoric has become part of the mainstream discourse regarding the public health practice of childhood vaccination. These utilise social media to foster online spaces that strengthen and popularise anti-vaccination discourses. In this paper, we examine the characteristics of and the discourses present within six popular anti-vaccination Facebook pages. We examine these large-scale datasets using a range of methods, including social network analysis, gender prediction using historical census data, and generative statistical models for topic analysis (Latent Dirichlet allocation). We find that present-day discourses centre around moral outrage and structural oppression by institutional government and the media, suggesting a strong logic of ‘conspiracy-style’ beliefs and thinking. Furthermore, anti-vaccination pages on Facebook reflect a highly ‘feminised’ movement ‒ the vast majority of participants are women. Although anti-vaccination networks on Facebook are large and global in scope, the comment activity sub-networks appear to be ‘small world’. This suggests that social media may have a role in spreading anti-vaccination ideas and making the movement durable on a global scale.
conspiracy_theories  social_media  social_networks  contagion  sentiment_analysis  topic_model  networks  teaching  via:zeynep 
december 2017 by rvenkat
Critical dynamics in population vaccinating behavior
Vaccine refusal can lead to renewed outbreaks of previously eliminated diseases and even delay global eradication. Vaccinating decisions exemplify a complex, coupled system where vaccinating behavior and disease dynamics influence one another. Such systems often exhibit critical phenomena—special dynamics close to a tipping point leading to a new dynamical regime. For instance, critical slowing down (declining rate of recovery from small perturbations) may emerge as a tipping point is approached. Here, we collected and geocoded tweets about measles–mumps–rubella vaccine and classified their sentiment using machine-learning algorithms. We also extracted data on measles-related Google searches. We find critical slowing down in the data at the level of California and the United States in the years before and after the 2014–2015 Disneyland, California measles outbreak. Critical slowing down starts growing appreciably several years before the Disneyland outbreak as vaccine uptake declines and the population approaches the tipping point. However, due to the adaptive nature of coupled behavior–disease systems, the population responds to the outbreak by moving away from the tipping point, causing “critical speeding up” whereby resilience to perturbations increases. A mathematical model of measles transmission and vaccine sentiment predicts the same qualitative patterns in the neighborhood of a tipping point to greatly reduced vaccine uptake and large epidemics. These results support the hypothesis that population vaccinating behavior near the disease elimination threshold is a critical phenomenon. Developing new analytical tools to detect these patterns in digital social data might help us identify populations at heightened risk of widespread vaccine refusal.
epidemiology  sentiment_analysis  contagion  networked_life  ?  dynamics  phase_transition 
december 2017 by rvenkat

« earlier    

related tags

?  2016  affect  algorithms  analysis  api  baseball  benchmark  big_data  book  bookmarks_bar  buzzfeed  citations  cloud  code  collection  completed_stuff  computaional_advertising  computational_linguistics  computational_social_science  computerscience  conferences  conspiracy_theories  contagion  cool  corpora  course  data  data_analysis  data_hunting  data_science  data_sets  datascience  datasets  deep_learning  democracy  discourse_analysis  discrimination  disinformation  docker  dynamics  educational_media  elasticsearch  emoji  emotion  epidemiology  ethics  exhaust_data  experimental_psychology  experimental_sociology  from_pocket  fsharp  gafa  gender  graph  graphs  hackathon  hedge_funds  hn  inequality  insights  intent_analysis  investors  javascript  keyword_analysis  library  london  machine_learning  machinelearning  market_moving  microblogging  misinformation  ml  mood  mundane  named_entities_recognition  natural_language_processing  neo4j  network_data_analysis  networked_life  networks  nlp  nltk  nodejs  npm  online_experiments  open_data  opinion_mining  paper  part-of-speech_tagging  pedagogy  phase_transition  philosophy_of_technology  polarization  policing  political_psychology  political_science  private_equity  programming  propublica  public_opinion  public_sphere  python  quandl  quants  r  r_programming  race  review  scraping  sentiment-analysis  sentiment  sfmoma  shot_after_a_fair_trial  social  social_influence  social_media  social_networks  social_psychology  spanish  statistics  subjective_well-being  survey_research  teaching  tech_news  tensorflow  text_analysis  text_mining  textmining  to:blog  to:nb  tools  topic_model  twitter  twitter_analysis  unconventional  uni-stuttgart  united_states_of_america  us_politics  wall_street  wapo  watson  webmining  webscraping 

Copy this bookmark:



description:


tags: