Communication articles within Nature Communications

Featured

  • Article
    | Open Access

    Global public expectations for carbon removal governance are: engagement beyond acceptance research; regulating industry beyond incentivizing innovation; systemic coordination; and prioritizing underlying and interrelated causes of unsustainability.

    • Sean Low
    • , Livia Fritz
    •  & Benjamin K. Sovacool

  • Article
    | Open Access

    Microbial communication has significant implications for industrial applications, but constructing communication systems which support coordinated behaviors is challenging. Here, the authors report an electron transfer triggered redox communication network and demonstrate its ability to coordinate microbial metabolism.

    • Na Chen
    • , Na Du
    •  & Quan Yuan

  • Comment
    | Open Access

    This Comment piece summarises current challenges regarding routine vaccine uptake in the context of the COVID-19 pandemic and provides recommendations on how to increase uptake. To implement these recommendations, the article points to evidence-based resources that can support health-care workers, policy makers and communicators.

    • Cornelia Betsch
    • , Philipp Schmid
    •  & Amanda Garrison

  • Article
    | Open Access

    Misinformation online can be shared by major political figures and organizations. Here, the authors developed a method to measure exposure to information from these sources on Twitter, and show how exposure relates to the quality of the content people share and their political ideology.

    • Mohsen Mosleh
    •  & David G. Rand

  • Article
    | Open Access

    Social media platforms moderating misinformation have been accused of political bias. Here, the authors use neutral social bots to show that, while there is no strong evidence for such a bias, the content to which Twitter users are exposed depends strongly on the political leaning of early Twitter connections.

    • Wen Chen
    • , Diogo Pacheco
    •  & Filippo Menczer

  • Article
    | Open Access

    Despite the popularity of social media, the psychological processes that drive people to engage in it remain poorly understood. The authors applied a computational modeling approach to data from multiple social media platforms to show that engagement can be explained by mechanisms of reward learning.

    • Björn Lindström
    • , Martin Bellander
    •  & David M. Amodio

  • Article
    | Open Access

    Terms such as ‘climate change’ and ‘climate crisis’ need to be evaluated for their effectiveness for public perception. In this study of a sample of the Taiwanese public reactions to the terms were largely the same, however, in specific subgroups the term ‘climate crisis’ faced some backlash.

    • Li-San Hung
    •  & Mucahid Mustafa Bayrak

  • Article
    | Open Access

    By analyzing President Trump’s tweets and data from two media sources, the authors provide evidence suggesting that when the media reports on a topic potentially harmful to the president, he tweets about unrelated issues. Further evidence from this case study suggests that these diversionary tweets may also successfully reduce subsequent media coverage of the harmful topic.

    • Stephan Lewandowsky
    • , Michael Jetter
    •  & Ullrich K. H. Ecker

  • Article
    | Open Access

    The quality of human language translation has been thought to be unattainable by computer translation systems. Here the authors present CUBBITT, a deep learning system that outperforms professional human translators in retaining text meaning in English-to-Czech news translation, and validate the system on English-French and English-Polish language pairs.

    • Martin Popel
    • , Marketa Tomkova
    •  & Zdeněk Žabokrtský

  • Article
    | Open Access

    Individuals within social networks rarely observe the network as a whole; rather, their observations are limited to their social circles. Here we show that network structure can distort observations, making a trait appear far more common within many social circles than it is in the network as a whole.

    • Nazanin Alipourfard
    • , Buddhika Nettasinghe
    •  & Kristina Lerman

  • Article
    | Open Access

    Using agent-based models of a problem-solving task in a network, the authors show that clustering people of similar knowledge maintains solution diversity and increases long run system collective performance. Clustering those with similar abilities, however, lowers solution diversity and performance.

    • Charles J. Gomez
    •  & David M. J. Lazer

  • Article
    | Open Access

    Social groups form collective memories, but the temporal dynamics of this process are unclear. Here, the authors show that when early conversations involve individuals that bridge across clusters of a social network, the network reaches higher mnemonic convergence compared to when early conversations occur within clusters.

    • Ida Momennejad
    • , Ajua Duker
    •  & Alin Coman

  • Article
    | Open Access

    The influence of 'fake news’, spread via social media, has been much discussed in the context of the 2016 US presidential election. Here, the authors use data on 30 million tweets to show how content classified as fake news diffused on Twitter before the election.

    • Alexandre Bovet
    •  & Hernán A. Makse

Browse broader subjects

Browse Communication across other nature.com journals