25 research outputs found
Unveiling Injustices in Theodore Dreiser\u27s “An American Tragedy” and Susan Glaspell\u27s “A Jury of Her Peers”
No full textCrime and its representation in new age media is seeping into every avenue of discussion nowadays. The influence of crime is most notably evident in literature, where real cases inspired fictional novels and short stories that explore social issues and injustices. Since the 16th century, true crime has captivated human curiosity while also shedding light on the United States legal and justice system. Ultimately, true crime narratives provide a deeper understanding of human psychology and the reasons behind a number of gruesome and horrific incidents. This thesis investigates how Theodore Dreiser’s An American Tragedy and Susan Glaspell’s A Jury of Her Peers utilize crime to critique varying social injustices. This study will explore how Sigmund Freud’s essays on the psychoanalytic theory of unconscious guilt and the concept of being “wrecked by success” influence the murder in An American Tragedy. Applying these theories helps us see how Dreiser encourages his readers to sympathize with Clyde rather than dwelling on the sensational aspects of his crime. I will then turn to A Jury of Her Peers, using a feminist lens to analyze how Glaspell’s story puts disruptive and oppressive patriarchal demands and expectations on trial as the true cause of the wife’s retaliatory violence. By analyzing these works through the lenses of psychoanalytic theory and feminist criminology, this thesis reveals how true crime literature serves as a powerful medium for offering insights into both individual and collective human experiences
Software for "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior"
No full textThis repository consists of the custom external platform for the annotation process of CrowdFlower, used on the "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior" paper, published in ICWSM 2018. Full text of the paper can be found here:
Please cite the paper in any published work that uses any of these resources.
@article{founta2018large,
title={Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior},
author={Founta, Antigoni-Maria and Djouvas, Constantinos and Chatzakou, Despoina and Leontiadis, Ilias and Blackburn, Jeremy and Stringhini, Gianluca and Vakali, Athena and Sirivianos, Michael and Kourtellis, Nicolas},
journal={arXiv preprint arXiv:1802.00393},
year={2018}
}
For any further questions contact a.m.founta at gmail dot com.</p
Dataset for "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior"
No full textDataset for the publication "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior". Antigoni-Maria Founta, Constantinos Djouvas, Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Gianluca Stringhini, Athena Vakali, Michael Sirivianos and Nicolas Kourtellis. International AAAI Conference on Web and Social Media (ICWSM), 2018.
The dataset provided here includes an updated version of the original dataset, with ~100k tweets annotated using the CrowdFlower platform:
hatespeech_labels.csv: contains ~100k rows, where every row consists of a unique Tweet ID and its associated majority annotation
UPDATE: It has come to our understanding that a number of the tweets are not available anymore for download on Twitter. Therefore, upon request, we can provide one more file with the full ~100k tweet text and their associated majority labels. The tweets are shuffled so that there is no connection between tweet IDs and texts (in order to be aligned with the T&C of Twitter).
To obtain the file contact a.m.founta at gmail dot com AND antonis26papa at gmail dot com.
Please cite the paper in any published work that uses any of these resources.
@inproceedings{founta2018large,
title={Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior},
author={Founta, Antigoni-Maria and Djouvas, Constantinos and Chatzakou, Despoina and Leontiadis, Ilias and Blackburn, Jeremy and Stringhini, Gianluca and Vakali, Athena and Sirivianos, Michael and Kourtellis, Nicolas},
booktitle={11th International Conference on Web and Social Media, ICWSM 2018},
year={2018},
organization={AAAI Press}
}
For any further questions contact a.m.founta at gmail dot com.
Publication DOI: https://doi.org/10.5281/zenodo.1443348
Github: https://github.com/ENCASEH2020/hatespeech-twitter
The updated version of this Dataset is here: https://zenodo.org/record/2657374#.XMrDIY4zaUk</p
Arachne and Athena : literature, politics and women's classicism
No full textThe object of the book "Arachne and Athena. Literature, politics and women's classicism" was to develop a new way (slightly wider than before) of understanding the concept of "women's writing". Associated with (over)expression of her own "self", emotional profusiveness, autobiography and sexuality, "women's writing" was very often described in contrast to "masculine literature" (or men’s writing) - i.e. rational, disciplined, self-limited, non-personal and nonsexual. As it turns out, this approach leads to a number of simplifications and puts the texts of women in a kind of "gender ghetto”.
The idea of the book was to trace so-called "double-voicedness” (E. Showalter) present in women's texts. It results from the specific tension between what is culturally considered as feminine and masculine, as well as what is "corporeal" and "rational" or - in different terms - what is personal and political. The authors, whose life and work have been studied here, had a problematic (and sometimes critical) attitude towards their own sex. Irena Krzywicka, Maria Dąbrowska, Stanisława Przybyszewska and Anna Bojarska sometimes met with accusations of symbolic disloyalty to other women, suppression of their femininity or attempting to adopt a "masculine language" and "androcentric" perspective on the world. Like Athena - born from the head of her father Zeus - they were also seen through the prism of their "phallic" or "patriarchal privilege". The Greek goddess was presented in this way in the famous feminist essay by Nancy K. Miller Arachnologies. Only Arachne - her mythological rival - was considered here as a figure of true, female (which means anti-patriarchal) authorship. Athena, however, had her feminine or even matriarchal genealogy, forgotten also by most feminist critics. As a the daughter of Metis and Zeus - the pre-Olympic goddess of justice and wisdom, devoured by Zeus when she was pregnant, Pallada seems to be a great figure to show woman’s ambivalent involvement in the mechanisms of patriarchal power. On the other hand, the book raise a question if Athena might become a patron of "new classicism" - a poetics different from "arachnology" and not necessarily female, but still remaining a part of women’s literary tradition. This poetics can be described by reference to: rationality, realism, everyday life and most of all, faith in the power of literature and human’s ability to understand and describe the world. Contradictions and tensions between gender and mimesis, art-craft and art of life, representations and reality - are of crutial importance here. Since the two mythological figures - Arachne and Athena - are inextricably linked (they are different, even antagonistic but at the same time mutually related), the mythological narrative re-interpreted in this book enable to emphasizes the importance of the contradictions which twentieth-century female author must have dealt with in order to become a part of literary tradition.
The writings of Krzywicka, Przybyszewska, Dąbrowska and Bojarska reveals many non-obviousness inscribed in modern emancipatory project: an acknowledging their own sex and, at the same time, negating the importance of it. Showing that a woman author cannot allow herself to reject entirely patriarchal ("father’s") heritage, the project underlines the cultural significance of the "female affiliation complex" (Gilbert, Gubar) in the history of literature. "Women’s classicism" - understood here as the poetics which go beyond body-mind opposition, and is far from mythologizing of sexual difference - demonstrates how women authors in the 20th century were searching for nondualistic (aesthetic) discourses to express their complex identity and relations with the artistic past and present. The mythological duel between the goddess Athena and Arachne, in a new, deconstructive way of reading, serves as a tool for demythologizing the category of femininity (understood too homogeneously in both patriarchal and (some) feminist interpretations). This perspective in the project leads to highlighting particularly two things: ambivalent tensions hidden in the texts of women and stemming from ambition (the need to be socially appreciated) as well as different ways in which 20th century women’s authors have perceived the place of literature in society. The book "Arachne and Athena" also draws attention to the various models of women’s engagement in the community, as well as different notions of what "modernity" and "tradition” are. Though they are different, they share strong convictions about the ethical and political importance of literature itself, as well as the role of intellectuals and artists in (re)shaping our reality
Restricted Dataset for "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior"
No full textRestricted Dataset for the "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior" paper, published in ICWSM 2018. The full text of the paper can be found here. The Public version of the dataset can be found here
hatespeech_text_label_vote_RESTRICTED_100K.csv: contains ~100K raws with tweet text, the associated majority label, and the number of votes for the majority label. The tweets are shuffled so that there is no connection between tweet IDs and texts (in order to be in line with the T&C of Twitter).
retweets.csv: contains ~2K rows, where every row consists of the row number in the hatespeech_text_label_vote_RESTRICTED_100K.csv file which is the first occurrence of a Tweet text followed by comma-separated row numbers of all other occurrences of the same Tweet text in the same file. There are ~8K other occurrences due to retweets.
Please cite the paper in any published work that uses any of these resources.
@inproceedings{founta2018large,
title={Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior},
author={Founta, Antigoni-Maria and Djouvas, Constantinos and Chatzakou, Despoina and Leontiadis, Ilias and Blackburn, Jeremy and Stringhini, Gianluca and Vakali, Athena and Sirivianos, Michael and Kourtellis, Nicolas},
booktitle={11th International Conference on Web and Social Media, ICWSM 2018},
year={2018},
organization={AAAI Press}
}
For any further questions contact a.m.founta at gmail dot com AND markos.charalambous at eecei dot cut dot ac dot c
Invalid Dataset for "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior"
No full textThis dataset is invalid. The updated version of this Dataset is here: https://zenodo.org/record/3678559#.Xl9-Ji97FhE
Dataset for the "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior" paper, published in ICWSM 2018. The full text of the paper can be found here.
The dataset provided here includes an updated version of the original dataset, with ~100k tweets annotated using the CrowdFlower platform:
hatespeech_labels.csv: contains ~100K rows, where every row consists of a unique Tweet ID and its according to majority annotation
UPDATE: It has come to our understanding that a number of the tweets are not available anymore for download on Twitter. Therefore, under request, we can provide one more file with the full ~100K tweet text, their associated majority label, and the number of votes for the majority label. The tweets are shuffled so that there is no connection between tweet IDs and texts (in order to be in line with the T&C of Twitter). To obtain the file contact the authors through email.
Please cite the paper in any published work that uses any of these resources.
@inproceedings{founta2018large,
title={Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior},
author={Founta, Antigoni-Maria and Djouvas, Constantinos and Chatzakou, Despoina and Leontiadis, Ilias and Blackburn, Jeremy and Stringhini, Gianluca and Vakali, Athena and Sirivianos, Michael and Kourtellis, Nicolas},
booktitle={11th International Conference on Web and Social Media, ICWSM 2018},
year={2018},
organization={AAAI Press}
}
For any further questions contact a.m.founta at gmail dot com AND markos.charalambous at eecei.cut.ac.c
(Not) just a girl: Reworking femininity through women’s leadership in Europe
No full textThis article applies a critical femininities perspective to the concept of women’s leadership, interrogating the market-oriented instrumentalization of femininity. The author presents empirical research consisting of in-depth interviews conducted with young women leaders in European student organizations. These participants juggle complicity and subversion as they negotiate the divergent expectations of femininity and leadership through interpersonal interactions and sociocultural positionalities. In these narratives the themes of social responsibility, difference, femininity, culture and embodiment are interlaced. The analysis of findings complicates monolithic interpretations of femininity by evidencing intra-categorical fracturing, multiplicity in locations and manifestations of femininities, conflicting attachments and affective relations to femininity, and broader geopolitical contextualization. This theoretically and practically challenges tropes of hegemonic femininity, and presents opportunities for resistance. On this basis the author argues for countering the feminist trouble of engaging with non-transgressive femininity from within strongly normative spaces in the development of critical femininity studies.</jats:p
Dataset for "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior"
No full text<p>This is the updated dataset for the publication "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior". Antigoni-Maria Founta, Constantinos Djouvas, Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Gianluca Stringhini, Athena Vakali, Michael Sirivianos and Nicolas Kourtellis. International AAAI Conference on Web and Social Media (ICWSM), 2018.</p>
<p>The dataset provided here includes an updated version of the original dataset, with ~100k tweets annotated using the CrowdFlower platform:</p>
<ul>
<li>hatespeech_labels.csv: contains ~100k rows, where every row is consisted of a unique Tweet ID and its associated majority annotation</li>
</ul>
<p>UPDATE: It has come to our understanding that a number of the tweets are not available anymore for download on Twitter. Therefore, under request, we can provide one more file with the full 100k tweet text and their associated majority labels. The tweets are shuffled so that there is no connection between tweet IDs and texts (in order to be aligned with the T&C of Twitter). To obtain the file contact the authors through email.</p>
<p><em>Please cite the paper in any published work that uses any of these resources.</em></p>
<blockquote>
<p>@inproceedings{founta2018large,<br>
title={Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior},<br>
author={Founta, Antigoni-Maria and Djouvas, Constantinos and Chatzakou, Despoina and Leontiadis, Ilias and Blackburn, Jeremy and Stringhini, Gianluca and Vakali, Athena and Sirivianos, Michael and Kourtellis, Nicolas},<br>
booktitle={11th International Conference on Web and Social Media, ICWSM 2018},<br>
year={2018},<br>
organization={AAAI Press}<br>
}</p>
</blockquote>
<p>For any further questions contact a.m.founta at gmail dot com.</p>
<p> </p>
<p>Publication DOI: <a href="https://doi.org/10.5281/zenodo.1443348">https://doi.org/10.5281/zenodo.1443348</a></p>
<p>Github: <a href="https://github.com/ENCASEH2020/hatespeech-twitter">https://github.com/ENCASEH2020/hatespeech-twitter</a></p>
Public Dataset for "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior"
No full textDataset for the "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior" paper, published in ICWSM 2018. The full text of the paper can be found here.
The dataset provided here includes an updated version of the original dataset, with ~100k tweets annotated using the CrowdFlower platform:
hatespeech_id_label_PUBLIC_100K.csv: contains ~100K rows, where every row consists of a unique Tweet ID.
hatespeech_text_label_vote_RESTRICTED_100K.csv: contains ~100K rows, where every row consists of the tweet text, its label according to majority annotation and the number of majority annotators. Available only here.
retweets.csv: contains ~2K rows, where every row consists of the row number in the hatespeech_text_label_vote_RESTRICTED_100K.csv file which is the first occurrence of a Tweet text followed by comma-separated row numbers of all other occurrences of the same Tweet text in the same file. There are ~8K other occurrences due to retweets. Available only here.
UPDATE: It has come to our understanding that a number of the tweets are not available anymore for download on Twitter. Therefore, we provide here the hatespeech_text_label_vote_RESTRICTED_100K file with the full ~100K tweet texts, their associated majority label, and the number of votes for the majority label. The tweets are shuffled so that there is no connection between tweet IDs and texts (in order to be in line with the T&C of Twitter).
Please cite the paper in any published work that uses any of these resources.
@inproceedings{founta2018large,
title={Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior},
author={Founta, Antigoni-Maria and Djouvas, Constantinos and Chatzakou, Despoina and Leontiadis, Ilias and Blackburn, Jeremy and Stringhini, Gianluca and Vakali, Athena and Sirivianos, Michael and Kourtellis, Nicolas},
booktitle={11th International Conference on Web and Social Media, ICWSM 2018},
year={2018},
organization={AAAI Press}
}
For any further questions contact a.m.founta at gmail dot com AND markos.charalambous at eecei dot cut dot ac dot c
Limitations and resistance to gender equality policy and plans in higher education institutions awarded an Athena Swan Charter’
No full textData Availability Statement:
The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.This paper explores the work experience and career trajectories of people working across 12 UK-based universities awarded an Athena Swan Charter, an international scheme that recognizes commitment to gender equality. Despite, or perhaps due to institutional reward leading to gender-washed “peacocking”, everyday sexisms and gender regimes are sustained through acts of gendered microinsults that often go unnoticed and are individualized. Women in “awarded” institutions report being spoken over, disproportionately allocated academic housework, experience re/enforced gendered boundaries, and inadequate equality policy provision. They also identify microinvalidations through exclusion from meetings, mis/appropriation of their ideas, gender inequality denial, and overt or covert resistance to gender equity initiatives. An analysis of these microaggressions determines their interconnected, mutually constitutive, and reproductive nature; it suggests that institutional gender-washing propagates a misconception of current levels of gender inequality which kindles “equity-backlash”. The findings reveal unintended outcomes of gender award schemes that might be mitigated through visibilising and addressing inequality regimes and their impacts.Open access publishing facilitated by University of the Sunshine Coast, as part of the Wiley - University of the Sunshine Coast agreement via the Council of Australian University Librarians
