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Oliver Brendel<a href="https://musician.social/@filomel" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@Filomel</a> <a href="https://a.gup.pe/u/academicchatter" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@academicchatter</a> The Karst et al is not only a very nice paper because it shows what is really known about the information transfer among trees via mycorrhizal networks, but also because it shows how a <a href="https://scicomm.xyz/tags/CitationBias" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CitationBias</a> towards positive results "may obscure our understanding of the structure and function of CMNs in forests. " or any other research subject. When writing papers, especially for inexperienced writers, this is really a problem to consider. <a href="https://www.nature.com/articles/s41559-023-01986-1" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.nature.com/articles/s41559-023-01986-1</a> <a href="https://scicomm.xyz/tags/Forests" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Forests</a>

Oliver Brendel<a href="https://musician.social/@filomel" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@Filomel</a> Karst et al have written in 2023 a very nice piece on <a href="https://scicomm.xyz/tags/CitationBias" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CitationBias</a> and the over-interpretation of results on the common mycorrhizal networks in <a href="https://scicomm.xyz/tags/Forests" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Forests</a> <a href="https://sciencenewsnet.in/the-claim-that-forest-trees-talk-through-underground-fungi-is-questionable/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://sciencenewsnet.in/the-claim-that-forest-trees-talk-through-underground-fungi-is-questionable/</a> The original paper is here : <a href="https://www.nature.com/articles/s41559-023-01986-1" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.nature.com/articles/s41559-023-01986-1</a>

Oliver BrendelThe wood wide web, not as wide as it seems : this idea of interconnecting trees, based on Suzanne Simard's papers and then largely publicised by Peter Wohlleben in his book "The Hidden Life of Trees", is largely based on <a href="https://scicomm.xyz/tags/CitationBias" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CitationBias</a> towards positive effects , as this very nice review paper here shows : <a href="https://www.nature.com/articles/s41559-023-01986-1" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.nature.com/articles/s41559-023-01986-1</a> <a href="https://scicomm.xyz/tags/ForestEcology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ForestEcology</a> <a href="https://scicomm.xyz/tags/Forests" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Forests</a>

petersuberOne of the strongest objections to <a href="https://fediscience.org/tags/APCs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#APCs</a> is that they exclude large numbers of scholarly authors on economic grounds, unrelated to the merit of their work. (See e.g. the <a href="https://fediscience.org/tags/BOAI20" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BOAI20</a>, recommendation 3.)A new study argues that this exclusion shows up in <a href="https://fediscience.org/tags/CitationBias" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CitationBias</a> against authors from the <a href="https://fediscience.org/tags/GlobalSouth" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GlobalSouth</a>. The bias itself is well-documented and the authors argue that the rise of APCs is one factor in explaining it. <a href="https://www.sciencedirect.com/science/article/pii/S2665944124000142" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.sciencedirect.com/science/article/pii/S2665944124000142</a> <a href="https://fediscience.org/tags/ScholComm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ScholComm</a>

petersuberNew study: "While <a href="https://fediscience.org/tags/LLMs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LLMs</a> can aid in citation generation, they may also amplify existing biases, such as the <a href="https://fediscience.org/tags/MatthewEffect" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MatthewEffect</a>, and introduce new ones, potentially skewing scientific knowledge dissemination." <a href="https://arxiv.org/abs/2405.15739" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://arxiv.org/abs/2405.15739</a><a href="https://fediscience.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://fediscience.org/tags/Citations" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Citations</a>, <a href="https://fediscience.org/tags/CitationBias" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CitationBias</a>

Daniele de Rigo9/ E.g. <a href="https://hostux.social/tags/CitationBias" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CitationBias</a> can be mitigated: it may be a daunting experience, when serving as a peer reviewer, to periodically be forced to note how controversial publications should not be cited to corroborate a thesis without mentioning there is a controversy (meaning: the thesis might not be so obvious to defend after all).At least, not without giving honest context (e.g. also citing the main criticisms, especially when they are not occasional but instead systematically repeated over decades)

Daniele de Rigo2/ "<a href="https://hostux.social/tags/CitationBias" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CitationBias</a> is often unintentional, but is a consequence of the way humans think. Bishop (2020) [2] described a particular cognitive process, confirmation bias, which makes it much easier to attend to and remember things that are aligned with our prior expectations. <a href="https://hostux.social/tags/ConfirmationBias" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ConfirmationBias</a> is a natural tendency that in everyday life that often serves a useful purpose in reducing our <a href="https://hostux.social/tags/CognitiveLoad" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CognitiveLoad</a>, but which is incompatible with objective scientific thinking" [1]<a href="https://hostux.social/tags/science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#science</a> <a href="https://hostux.social/tags/research" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#research</a>

Matt Hodgkinson<a href="https://fediscience.org/@ct_bergstrom" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@ct_bergstrom</a> Citation stacking, like 50 papers cited in the first paragraph, can also be a sign of citation manipulation.When you see [1-50], it's possible the authors may be boosting their own work or that of connected researchers/journals, or they may be part of a citation ring, or - in a published article - they may have been subject to coercive citation by a reviewer or editor. <a href="https://scicomm.xyz/tags/PublicationEthics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PublicationEthics</a> <a href="https://scicomm.xyz/tags/Bibliometrics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Bibliometrics</a> <a href="https://scicomm.xyz/tags/Citations" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Citations</a> <a href="https://scicomm.xyz/tags/CitationScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CitationScience</a> <a href="https://scicomm.xyz/tags/CitationBias" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CitationBias</a> <a href="https://scicomm.xyz/tags/ScholComm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ScholComm</a>

Stephanie Rossit 🧠👀🖐Hey mastooters do you know any automated tools that check for biases (gender etc) in reference lists or bibliography? I want to begin doing this in my work but it’s tedious to do it by hand! <a href="https://mastodon.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuroscience</a> <a href="https://mastodon.social/tags/citationbias" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#citationbias</a>

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