text: New York, NY, USA, 1972; p. 309. 
  
  45. Danowski, J.A. Inferences from word networks in messages. In The Content Analysis Reader; SAGE: Thousand 
  
  Oaks, CA, USA, 2009; pp. 421–429. 
  
  46. Hamed, A.A.; Ayer, A.A.; Clark, E.M.; Irons, E.A.; Taylor, G.T.; Zia, A. Measuring climate change on Twitter 
  using Google’s algorithm: Perception and events. Int. J. Web Inf. Syst.**2015**, 11, 527–544. [CrossRef] 
  47. Haunschild, R.; Leydesdorﬀ, L.; Bornmann, L.; Hellsten, I.; Marx, W. Does the public discuss other topics on 
  climate change than researchers? A comparison of explorative networks based on author keywords and 
  hashtags. J. Inf.**2019**, 13, 695–707. [CrossRef] 
  
  48. Veltri, G.A.; Atanasova, D. Climate change on Twitter: Content, media ecology and information sharing 
  
  behaviour. Public Underst. Sci.**2017**, 26, 721–737. [CrossRef] 