Subtopic Deep Dive
Social Media and Public Discourse
Research Guide
What is Social Media and Public Discourse?
Social Media and Public Discourse examines how platforms like Twitter shape opinion formation, polarization, and networked publics through computational content analysis, network theory, and discourse studies.
Researchers analyze Twitter sentiments during Brazil's 2022 presidential election (Santos and Berton, 2023, 5 citations) and Bolsonaro's press criticisms (Fernandes et al., 2021, 7 citations). Studies explore fact-checking criteria (Pérez and Seibt, 2022, 7 citations) and polarization as impermeability (Bordonaba-Plou, 2019, 5 citations). Over 10 papers from 2017-2023 focus on Brazilian contexts with ~70 total citations.
Why It Matters
Social media discourse analysis informs misinformation policies, as seen in fact-checker routines (Pérez and Seibt, 2022). It reveals echo chambers in elections via Twitter sentiment (Santos and Berton, 2023) and populist attacks on press (Fernandes et al., 2021). These insights guide democratic deliberation, with narrative framing studies like Lava Jato coverage (Seefeld and Rese, 2020) impacting public trust in media.
Key Research Challenges
Measuring Polarization Dynamics
Quantifying impermeability in discourse remains difficult, as groups dismiss opposing reasons (Bordonaba-Plou, 2019). Twitter analysis struggles with sentiment scale (Santos and Berton, 2023). Network theory needs better integration with qualitative discourse.
Fact-Checking Scalability
Brazilian fact-checkers face routine inconsistencies across platforms (Pérez and Seibt, 2022). High-volume social media requires automated verification beyond manual surveys. Motivations vary, complicating standardization.
Narrative Framing Biases
Media agents produce biased translations of events like Lava Jato (Seefeld and Rese, 2020). Objectivity perceptions differ among journalists (Henriques, 2021). Convergent environments amplify production-reception gaps (Becker et al., 2018).
Essential Papers
Metacritic Practice: A Configuration of New Journalistic Narratives
Marta Regina Maia, Rafael Drumond, Caio Macedo Rodrigues Aniceto · 2017 · Brazilian Journalism Research · 15 citations
An ongoing effort is being made in the communication field to map the possibilities of media criticism, since there are several modalities of study in this area. In this case, we propose a glance a...
REPRESENTAÇÕES SOCIAIS DE HOMENS IDOSOS SOBRE A COVID-19 E SENTIMENTOS GERADOS NO ISOLAMENTO SOCIAL
Adriano da Silva Rozendo, Andréia Isabel Giacomozzi, Andréa Barbará da Silva Bousfield et al. · 2022 · Revista Ciências Humanas · 8 citations
Estudos apontam que os homens idosos são o grupo de maior risco de agravo e morte pela COVID-19, em decorrência de fatores biopsicossociais. As Representações Sociais (RS) possuem um papel importan...
“Para bom entendedor, meia palavra basta?!”: um estudo sobre as narrativas produzidas por agentes de mídia na tradução do papel dos envolvidos na Operação Lava Jato
Rodrigo Seefeld, Natália Rese · 2020 · Cadernos EBAPE BR · 7 citations
Resumo O objetivo deste é artigo é analisar como a mídia traduz o papel dos envolvidos, os eventos, as relações, seus antecedentes e suas consequências, produzindo versões narrativas consumidas pel...
Press X Governement
Carla Montuori Fernandes, Luiz Ademir de Oliveira, Mayra Regina Coimbra et al. · 2021 · Brazilian Journalism Research · 7 citations
ABSTRACT – This paper begins with a discussion of the concept of populism in order to analyze how Jair Bolsonaro’s criticisms of the press circulated on the social network Twitter at a time when Br...
critérios dos fact-checkers brasileiros
Carlos Rodríguez Pérez, Taís Seibt · 2022 · Brazilian Journalism Research · 7 citations
RESUMO – Buscamos conhecer propósitos, motivações e rotinas da prática de fact-checking no Brasil, a partir das percepções dos jornalistas. A pesquisa se baseia em questionário autogestionado, no q...
Analysis of Twitter users' sentiments about the first round 2022 presidential election in Brazil
Daiana Kathrin Santana Santos, Lilian Berton · 2023 · 5 citations
O crescimento da internet e da comunicação por meio das redes sociais, facilitou a obtenção de informações sobre o que outros indivíduos estão pensando e qual a opinião deles para determinado assun...
Polarización como impermeabilidad: cuando las razones ajenas no importan
David Bordonaba-Plou · 2019 · Cinta de moebio · 5 citations
El objetivo de este trabajo es defender la idea de polarización como impermeabilidad, un sentido de polarización que se ha pasado por alto en la literatura sobre polarización polÃtica. Según e...
Reading Guide
Foundational Papers
Start with Resende (2009) on discourse representations and Henn et al. (2005) on media crime interdisciplinary approaches for core concepts in Brazilian contexts.
Recent Advances
Prioritize Santos and Berton (2023) for Twitter sentiment, Fernandes et al. (2021) for political discourse, Pérez and Seibt (2022) for fact-checking advances.
Core Methods
Core techniques: sentiment analysis via machine learning (Santos and Berton, 2023), qualitative narrative framing (Seefeld and Rese, 2020), surveys on journalistic practices (Henriques, 2021), network centrality in convergent media (Becker et al., 2018).
How PapersFlow Helps You Research Social Media and Public Discourse
Discover & Search
Research Agent uses searchPapers and exaSearch to find Twitter discourse papers like 'Analysis of Twitter users' sentiments about the first round 2022 presidential election in Brazil' (Santos and Berton, 2023). citationGraph reveals clusters around Bolsonaro critiques (Fernandes et al., 2021); findSimilarPapers expands to polarization studies (Bordonaba-Plou, 2019).
Analyze & Verify
Analysis Agent applies readPaperContent to extract sentiment methods from Santos and Berton (2023), then runPythonAnalysis with pandas for replication on Twitter data. verifyResponse (CoVe) checks claims against GRADE grading for evidence strength in fact-checking routines (Pérez and Seibt, 2022). Statistical verification confirms polarization metrics.
Synthesize & Write
Synthesis Agent detects gaps in fact-checking scalability (Pérez and Seibt, 2022), flags contradictions in narrative biases (Seefeld and Rese, 2020). Writing Agent uses latexEditText, latexSyncCitations for discourse reports, latexCompile for publication-ready PDFs, and exportMermaid for network diagrams of public discourse flows.
Use Cases
"Replicate sentiment analysis from Santos and Berton 2023 on 2022 Brazil election tweets."
Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas sentiment pipeline) → matplotlib plots of polarization trends.
"Draft LaTeX review on Twitter fact-checking in Brazil."
Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations (Pérez and Seibt 2022) → latexCompile → PDF export.
"Find GitHub repos for network analysis code in social media discourse papers."
Research Agent → citationGraph → Code Discovery (paperExtractUrls → paperFindGithubRepo → githubRepoInspect) → runnable network scripts from similar polarization studies.
Automated Workflows
Deep Research workflow conducts systematic review: searchPapers (50+ discourse papers) → citationGraph → structured report on Twitter polarization. DeepScan applies 7-step analysis with CoVe checkpoints to verify sentiment claims (Santos and Berton, 2023). Theorizer generates theory on impermeability from Bordonaba-Plou (2019) and Lava Jato narratives.
Frequently Asked Questions
What defines Social Media and Public Discourse?
It analyzes platform impacts on opinion, polarization, and publics using content analysis and network theory on Twitter/Facebook.
What methods dominate this subtopic?
Sentiment analysis (Santos and Berton, 2023), qualitative narrative studies (Seefeld and Rese, 2020), and fact-checking surveys (Pérez and Seibt, 2022).
What are key papers?
High-citation works include Fernandes et al. (2021, 7 cites) on Bolsonaro-Twitter, Pérez and Seibt (2022, 7 cites) on fact-checkers, Santos and Berton (2023, 5 cites) on election sentiments.
What open problems exist?
Scalable polarization measurement beyond impermeability (Bordonaba-Plou, 2019), automated fact-checking at Twitter scale, and convergent media biases (Becker et al., 2018).
Research Media and Communication Studies with AI
PapersFlow provides specialized AI tools for Social Sciences researchers. Here are the most relevant for this topic:
Systematic Review
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Deep Research Reports
Multi-source evidence synthesis with counter-evidence
Find Disagreement
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Part of the Media and Communication Studies Research Guide