Interpersonal communication pattern of farmers through key communicators regarding some selected Gram Panchayat activities

Devolution of power to the grassroot organisations has increasingly been supported in recent years within the context of participatory development. The role of interpersonal communication to actualise such development has also become an area of fresh enquiry. To explore the pattern of interpersonal communication regarding the functioning of panchayati raj institutions (PRI), hence, was taken up for the present study. Key communicator network of farmers was studied as neighbourhood, friendship and discussion group pattern to explore farmers’ interpersonal communication pattern regarding PRI activities. Sociometric technique was employed to identify the key communicators and their networks. Neighbourhood pattern of interaction showed least dense key communicator network and least dependence of farmers on these key communicators for securing information. Friendship pattern of interaction featured higher number of respondents seeking information from more than one key communicator; whereas, discussion group pattern of interaction showed least number of key communicators and highest inter-key communicator interaction. These networks can be fruitfully used to identify and facilitate information flow regarding PRI functioning; at the same time capacity building of key communicators can contribute towards the smooth functioning of these grassroot organisations.Panchayati Raj Institutions, interpersonal communication, key communicator, key communicator network

Interpersonal communication pattern of farmers through key communicators regarding some selected Gram Panchayat activities

Devolution of power to the grassroot organisations has increasingly been supported in recent years within the context of participatory development. The role of interpersonal communication to actualise such development has also become an area of fresh enquiry. To explore the pattern of interpersonal communication regarding the functioning of panchayati raj institutions (PRI), hence, was taken up for the present study. Key communicator network of farmers was studied as neighbourhood, friendship and discussion group pattern to explore farmers’ interpersonal communication pattern regarding PRI activities. Sociometric technique was employed to identify the key communicators and their networks. Neighbourhood pattern of interaction showed least dense key communicator network and least dependence of farmers on these key communicators for securing information. Friendship pattern of interaction featured higher number of respondents seeking information from more than one key communicator; whereas, discussion group pattern of interaction showed least number of key communicators and highest inter-key communicator interaction. These networks can be fruitfully used to identify and facilitate information flow regarding PRI functioning; at the same time capacity building of key communicators can contribute towards the smooth functioning of these grassroot organisations.Panchayati Raj Institutions, interpersonal communication, key communicator, key communicator network

Natural Language Decompositions of Implicit Content Enable Better Text Representations

When people interpret text, they rely on inferences that go beyond the observed language itself. Inspired by this observation, we introduce a method for the analysis of text that takes implicitly communicated content explicitly into account. We use a large language model to produce sets of propositions that are inferentially related to the text that has been observed, then validate the plausibility of the generated content via human judgments. Incorporating these explicit representations of implicit content proves useful in multiple problem settings that involve the human interpretation of utterances: assessing the similarity of arguments, making sense of a body of opinion data, and modeling legislative behavior. Our results suggest that modeling the meanings behind observed language, rather than the literal text alone, is a valuable direction for NLP and particularly its applications to social science.Comment: Accepted to EMNLP 2023 (Main conference

Interpersonal communication pattern of farmers through key communicators regarding some selected Gram Panchayat activities

Devolution of power to the grassroot organisations has increasingly been supported in recent years within the context of participatory development. The role of interpersonal communication to actualise such development has also become an area of fresh enquiry. To explore the pattern of interpersonal communication regarding the functioning of panchayati raj institutions (PRI), hence, was taken up for the present study. Key communicator network of farmers was studied as neighbourhood, friendship and discussion group pattern to explore farmers’ interpersonal communication pattern regarding PRI activities. Sociometric technique was employed to identify the key communicators and their networks. Neighbourhood pattern of interaction showed least dense key communicator network and least dependence of farmers on these key communicators for securing information. Friendship pattern of interaction featured higher number of respondents seeking information from more than one key communicator; whereas, discussion group pattern of interaction showed least number of key communicators and highest inter-key communicator interaction. These networks can be fruitfully used to identify and facilitate information flow regarding PRI functioning; at the same time capacity building of key communicators can contribute towards the smooth functioning of these grassroot organisations

Interpersonal communication pattern of farmers through key communicators regarding some selected Gram Panchayat activities

Devolution of power to the grassroot organisations has increasingly been supported in recent years within the context of participatory development. The role of interpersonal communication to actualise such development has also become an area of fresh enquiry. To explore the pattern of interpersonal communication regarding the functioning of panchayati raj institutions (PRI), hence, was taken up for the present study. Key communicator network of farmers was studied as neighbourhood, friendship and discussion group pattern to explore farmers’ interpersonal communication pattern regarding PRI activities. Sociometric technique was employed to identify the key communicators and their networks. Neighbourhood pattern of interaction showed least dense key communicator network and least dependence of farmers on these key communicators for securing information. Friendship pattern of interaction featured higher number of respondents seeking information from more than one key communicator; whereas, discussion group pattern of interaction showed least number of key communicators and highest inter-key communicator interaction. These networks can be fruitfully used to identify and facilitate information flow regarding PRI functioning; at the same time capacity building of key communicators can contribute towards the smooth functioning of these grassroot organisations

We Don't Speak the Same Language: Interpreting Polarization through Machine Translation

Polarization among US political parties, media and elites is a widely studied topic. Prominent lines of prior research across multiple disciplines have observed and analyzed growing polarization in social media. In this paper, we present a new methodology that offers a fresh perspective on interpreting polarization through the lens of machine translation. With a novel proposition that two sub-communities are speaking in two different \emph{languages}, we demonstrate that modern machine translation methods can provide a simple yet powerful and interpretable framework to understand the differences between two (or more) large-scale social media discussion data sets at the granularity of words. Via a substantial corpus of 86.6 million comments by 6.5 million users on over 200,000 news videos hosted by YouTube channels of four prominent US news networks, we demonstrate that simple word-level and phrase-level translation pairs can reveal deep insights into the current political divide -- what is \emph{black lives matter} to one can be \emph{all lives matter} to the other

Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering

Questions posed by information-seeking users often contain implicit false or potentially harmful assumptions. In a high-risk domain such as maternal and infant health, a question-answering system must recognize these pragmatic constraints and go beyond simply answering user questions, examining them in context to respond helpfully. To achieve this, we study assumptions and implications, or pragmatic inferences, made when mothers ask questions about pregnancy and infant care by collecting a dataset of 2,727 inferences from 500 questions across three diverse sources. We study how health experts naturally address these inferences when writing answers, and illustrate that informing existing QA pipelines with pragmatic inferences produces responses that are more complete, mitigating the propagation of harmful beliefs.Comment: Accepted to NAACL 202

Partisan US News Media Representations of Syrian Refugees

We investigate how representations of Syrian refugees (2011-2021) differ across US partisan news outlets. We analyze 47,388 articles from the online US media about Syrian refugees to detail differences in reporting between left- and right-leaning media. We use various NLP techniques to understand these differences. Our polarization and question answering results indicated that left-leaning media tended to represent refugees as child victims, welcome in the US, and right-leaning media cast refugees as Islamic terrorists. We noted similar results with our sentiment and offensive speech scores over time, which detail possibly unfavorable representations of refugees in right-leaning media. A strength of our work is how the different techniques we have applied validate each other. Based on our results, we provide several recommendations. Stakeholders may utilize our findings to intervene around refugee representations, and design communications campaigns that improve the way society sees refugees and possibly aid refugee outcomes

The Effect of Bound Dineutrons upon BBN

We have examined the effects of a bound dineutron, n2, upon big bang nucleosynthesis (BBN) as a function of its binding energy B_n2. We find a weakly bound dineutron has little impact but as B_n2 increases its presence begins to alter the flow of free nucleons to helium-4. Due to this disruption, and in the absence of changes to other binding energies or fundamental constants, BBN sets a reliable upper limit of B_n2 <~ 2.5 MeV in order to maintain the agreement with the observations of the primordial helium-4 mass fraction and D/H abundance