Semantic Network Analysis Reveals Opposing Online Representations of the Search Term "GMO".

Jiang K, Anderton BN, Ronald PC, Barnett GA

DOI: 10.1002/gch2.201700082
Published: 2018 Jan 22
Container: Global challenges (Hoboken, NJ)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/gch2.201700082,
  title = {Semantic Network Analysis Reveals Opposing Online Representations of the Search Term "GMO".},
  author = {Jiang K and Anderton BN and Ronald PC and Barnett GA},
  year = {2018},
  journal = {Global challenges (Hoboken, NJ)},
  doi = {10.1002/gch2.201700082},
  url = {https://doi.org/10.1002/gch2.201700082}
}

RIS

TY  - JOUR
TI  - Semantic Network Analysis Reveals Opposing Online Representations of the Search Term "GMO".
AU  - Jiang K
AU  - Anderton BN
AU  - Ronald PC
AU  - Barnett GA
PY  - 2018
JO  - Global challenges (Hoboken, NJ)
DO  - 10.1002/gch2.201700082
UR  - https://doi.org/10.1002/gch2.201700082
ER  -

APA

K, J., BN, A., PC, R., & GA, B. (2018). Semantic Network Analysis Reveals Opposing Online Representations of the Search Term "GMO".. Global challenges (Hoboken, NJ). https://doi.org/10.1002/gch2.201700082

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pubmed · retrieved 2026-09-26T03:39:53.512Z