233 Matching Annotations
  1. Feb 2024
  2. Mar 2023
  3. Jan 2023
  4. Dec 2022
  5. Nov 2022
  6. Oct 2022
  7. Aug 2022
  8. May 2022
  9. Apr 2022
    1. ReconfigBehSci. (2020, November 25). @ToddHorowitz3 @sciam do you mean the specific article is bad, or the wider claim/argument? Because as someone who does research on collective intelligence, I’d say there is some reason to believe it is true that there can be “too much” communication in science. See e.g. The work of Kevin Zollman [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1331672900550725634

  10. Feb 2022
  11. Jan 2022
  12. Dec 2021
  13. Nov 2021
  14. Oct 2021
  15. Sep 2021
    1. Are women generally more interested in other social causes besides online surveillance and the negative cultural impacts of social media companies?

      Most of the advanced researchers I seen on these topics are almost all women: Safiya Umoja Noble, Meredith Broussard, Ruha Benjamin, Cathy O'Neil, Shoshana Zuboff, Joan Donovan, danah boyd,Tressie McMillan Cottom, to name but a few.

      The tougher part is that they are all fighting against problems created primarily by privileged, cis-gender, white men.

  16. Aug 2021
  17. Jul 2021
    1. The easy way to manage scientific publications and bookmarks

      BibSonomy helps you to manage your publications and bookmarks, to collaborate with your colleagues and to find new interesting material for your research.

  18. Jun 2021
    1. Professor, interested in plagues, and politics. Re-locking my twitter acct when is 70% fully vaccinated.

      Example of a professor/research who has apparently made his Tweets public, but intends to re-lock them majority of threat is over.

  19. May 2021
  20. Apr 2021
  21. Mar 2021
    1. Matias has his own lab, the Citizens and Technology Lab at Cornell, dedicated to making digital technologies that serve the public and not just private companies.

      [[J. Nathan Matias]] Citizens and Technology Lab

      I recall having looked at some of this research and not thinking it was as strong as is indicated here. I also seem to recall he had a connection with Tristan Harris?

  22. Feb 2021
  23. scientificinquiryinsocialwork.pressbooks.com scientificinquiryinsocialwork.pressbooks.com
    1. Action research also distinguishes itself from other research in that its purpose is to create change on an individual and community level. Kristin Esterberg puts it quite eloquently when she says, “At heart, all action researchers are concerned that research not simply contribute to knowledge but also lead to positive changes in people’s lives” (2002, p. 137).

      Directional goal

  24. Jan 2021
  25. Oct 2020
  26. Sep 2020
  27. Aug 2020
  28. Jul 2020
    1. O’Connor, D. B., Aggleton, J. P., Chakrabarti, B., Cooper, C. L., Creswell, C., Dunsmuir, S., Fiske, S. T., Gathercole, S., Gough, B., Ireland, J. L., Jones, M. V., Jowett, A., Kagan, C., Karanika‐Murray, M., Kaye, L. K., Kumari, V., Lewandowsky, S., Lightman, S., Malpass, D., … Armitage, C. J. (n.d.). Research priorities for the COVID-19 pandemic and beyond: A call to action for psychological science. British Journal of Psychology, n/a(n/a), e12468. https://doi.org/10.1111/bjop.12468

  29. Jun 2020
  30. May 2020
    1. Holmes, E. A., O’Connor, R. C., Perry, V. H., Tracey, I., Wessely, S., Arseneault, L., Ballard, C., Christensen, H., Silver, R. C., Everall, I., Ford, T., John, A., Kabir, T., King, K., Madan, I., Michie, S., Przybylski, A. K., Shafran, R., Sweeney, A., … Bullmore, E. (2020). Multidisciplinary research priorities for the COVID-19 pandemic: A call for action for mental health science. The Lancet Psychiatry, 0(0). https://doi.org/10.1016/S2215-0366(20)30168-1

  31. Apr 2020
  32. Feb 2020
    1. Social media research ethics faces a contradiction between big data positivism and research ethics fundamentalism. Big data positivists tend to say, ‘Most social media data is public data. It is like data in a newspaper. I can therefore gather big data without limits. Those talking about privacy want to limit the progress of social science’. This position disregards any engagement with ethics and has a bias towards quantification. The ethical framework Social Media Research: A Guide to Ethics (Townsend and Wallace, 2016) that emerged from an ESRC-funded project tries to avoid both extremes and to take a critical-realist position: It recommends that social scientists neither ignore nor fetishize research ethics when studying digital media.Research ethics fundamentalists in contrast tend to say,You have to get informed consent for every piece of social media data you gather because we cannot assume automatic consent, users tend not to read platform’s privacy policies, they may assume some of their data is private and they may not agree to their data being used in research. Even if you anonymize the users you quote, many can still be identified in the networked online environment.
    2. One important aspect of critical social media research is the study of not just ideolo-gies of the Internet but also ideologies on the Internet. Critical discourse analysis and ideology critique as research method have only been applied in a limited manner to social media data. Majid KhosraviNik (2013) argues in this context that ‘critical dis-course analysis appears to have shied away from new media research in the bulk of its research’ (p. 292). Critical social media discourse analysis is a critical digital method for the study of how ideologies are expressed on social media in light of society’s power structures and contradictions that form the texts’ contexts.
  33. Jan 2020
    1. One of the key critiques of the study is that the researchers didn’t log in. That is to say that they could not experience the full impact of the algorithm as it impacts their findings.

      As Becca Lewis suggests, is the problem associated with methodology? This reminds me of some of the discussions associated with [social media and teens] (https://collect.readwriterespond.com/social-media-has-not-destroyed-a-generation/)

  34. Nov 2019
    1. A given variable can sornetimes be measured at different levels. When in doubt, researchers should use the highest leve! of rneasurement ap-propriate to that variable so they can capture the greatest amount of information.

      Variable

    2. The Importance of Variable Names

      Variables

    3. Conceptions, Concepts, and Reality

      Defining concepts

    1. Checklist: Theoretical Framework

      Use this checklist with your theoretical framework.

    2. Concepts often have multiple definitions, so the theoretical framework involves clearly defining what you mean by each term

      It's to know exactly what we mean using a specific concept.

    3. In your thesis or dissertation, the theoretical framework is where you define, discuss and evaluate theories relevant to your research problem.

      It's a place for definitions, right?

  35. Oct 2019
    1. Conceptualization is the process of specifying observations and measurements that give concepts definite meaning for the purposes of a research study.

      What is conceptualization? The way to give meaning to a concept for the ressearch.

    2. Concepts are constructs; they represent the agreed-on meanings we assign to terms

      Concepts represent agreements

    3. Concepts are mental irnages we use as sumrnary devices for bringing together observations and experiences that seem to have something in corn-mon. We use terms or labels to reference these concepts

      What is a concept? Mental images.

    4. Conceptualization, Operationalization, and Measurement

      Conceptualization, Operationalization, and Measurement: an essencial part of this process involves transforming the relatively vague terms of ordinary language into precise objects of study with wel-defined and measurable meanings

    1. It is generally agreed that literature surveys and descriptive compilations do not meet the contribution-to-knowledge re-quirement for the dissertation

      What is not accepted.

    2. Positivist versus postpositivist.

      My research is postpositivist

    3. Experimental versus descriptive.

      My research is going to be descriptive.

    4. Quantitative versus qualitative.

      My research is qualitative.

    5. NEW OR IMPROVED ANALYSIS Analysis may be based on existing evidence or include new data.

      Maybe my research leads in this way, but I think is more the previous one.

    6. The evidence may be collected by an experiment, simulation, observations, questionnaire, interviews, or measurements.

      Maybe my research goes in this way: new or improved evidence.

    7. The additive contribution of a dissertation may arise from 1. new or improved evidence; 2. new or improved methodology; 3. new or improved analysis; 4. new or improved concepts or theories.

      Four kind of contributions

    8. The dissertation should be based on a significant question, problem, or hypothesis.

      The power of a good question. That's why we need to learn how and what to ask.

    9. Different approaches to testing of important results. If a researcher has reported interesting results with one research technique and a given research population, a doctoral student may consider replicating the experiment, altering either the research technique or the research population.

      Open science and reproductible science is key here.

    10. Writers of disserta-tions commonly describe further research that needs to be done.

      Work on the results of others.

    11. If there is likely to be a continuing interest, either academically or otherwise on the topic, then a student can continué to maintin scholarly capability in the área and continué to be a significant authority on the subject.

      This is like Bret Victor's Inventing on principle and the question is: what is your principle?

    12. A research project will typicaliy have more than one potential outcome. For example, a research experiment may fail to dis-prove the nuil hypothesis, it may disprove it, or it may be incon-clusive.

      A database of unsuccessful cases is a good thing to have too.

    13. The exploratory investigation, definition of problem, and writing normally take about half of the total time.

      I can use this to measure my time.

    14. If no theory base can be identified, the topic should be rejected

      Theory is mandatory

    15. Observations lead to theory to classify, explain, and predict the observations.

      Sounds like grounded theory, or at least the prediction is something very useful.

    16. Research needed and interesting

      Why my research is needed and interesting?

    17. In reading dissertations, the student should begin to formúlate a general understanding of the structure and scope of a disserta-tion, and the meaning of contribution to knowledge as applied to doctoral dissertations.

      Structure and scope.