Appendix B — Text retrieval

YouTube querying

The Python script used to retrieve and transcribe YouTube videos took advantage of the native querying system, cycling through lists of keywords. Below is a table of all queries associated with each city.

Query category	PG	TR
Waste management	rifiuti, smaltimento, raccolta differenziata	inceneritore, rifiuti, smaltimento
Environment, nature	ambiente, ecosistema, qualità dell’aria, qualità dell’acqua, inquinamento, spazi verdi, verde urbano, emissioni	ambiente, ecosistema, qualità dell’aria, qualità dell’acqua, inquinamento, spazi verdi, verde urbano
Industry	industria, nocività	acciaieria, AST, industria
Transportation	ciclabile, mobilità sostenibile, BRT, autobus	ciclabile, mobilità sostenibile, BRT, autobus

Keyword-based retrieval in Umbria Press

News articles were queried through keyword-based matching. The keyword are listed below.

Query category	Keywords
Industry	acciaieria, industria, acciaio, Arvedi, Thyssen, Thyssen-Krupp
Transportation	treno, aeroporto, Trenitalia, ciclabile, mobilità, BRT, trasporti
Environment	emissioni, PM10, inquinamento, ecolog, riuso, ecosistem, rifiuti, inceneritor

Contextual sentiment querying

The “environment” category was further decomposed and expanded in order to study the contextual sentiment of significant terms. All terms are listed below.

Query category	Keywords
Emissions	emissioni, PM10
Pollution	inquinamento,
Ecology	ecolog, ecosistem
Waste management	riuso, rifiuti, inceneritor