=Paper=
{{Paper
|id=Vol-2717/paper07
|storemode=property
|title=The Helsinki Digital Humanities Hackathon
|pdfUrl=https://ceur-ws.org/Vol-2717/paper07.pdf
|volume=Vol-2717
|authors=Ruben Ros,Sarah Oberbichler
|dblpUrl=https://dblp.org/rec/conf/dhn/RosO20
}}
==The Helsinki Digital Humanities Hackathon==
https://ceur-ws.org/Vol-2717/paper07.pdf
The Helsinki Digital Humanities Hackathon:
Two Perspectives on Multidisciplinary Historical
Newspapers Research in a Hackathon Context.
Ruben Ros1[0000−0002−5303−2861] and Sarah Oberbichler2[0000−0002−1031−2759]
1
Universiteit Utrecht, Utrecht, The Netherlands
ruben@rubenros.nl
2
Universität Innsbruck, Innsbruck, Austria
sarah.oberbichler@uibk.ac.at
Abstract. This paper describes the 2019 edition of the Helsinki Digital
Humanities Hackathon from the perspective of two of its participants. As
(digital) historians they were part of the group that investigated the his-
tory of medical advertisements in British nineteenth-century newspapers.
The paper describes the research process, as well as the data and meth-
ods used during the research. The paper also considers the Hackathon as
a laboratory for Digital Humanities research and reflects on the nature
of the collaboration as experienced during the Hackathon. As such, the
paper describes the challenges of multidisciplinary research and identifies
the factors that hinder and foster collaboration in a Digital Humanities
context.
Keywords: Hackathon · Multidiscilinary Collaboration · Historical News-
papers · Text Mining.
1 Introduction
In this Twin Talk we discuss concept of the Helsinki Digital Humanities Hackathon
(DHH) and the research done during the Hackathon from the perspective of two
of its participants (two historians familiar with computational methods). We aim
to show how the Hackathon concept brings together researchers and offers an
excellent opportunity for exploring the potential of multi- and interdisciplinary
Digital Humanities research. We report on the research process, including the
methods we used, the questions we answered and challenges we faced. Hereby,
this paper also reflects on the nature of collaboration in Digital Humanities re-
search. We will argue that specifically shared vocabularies, ”bridge-building”
capacities of individual researchers and leadership make a difference in promot-
ing and facilitating multidisciplinary research.3
The Helsinki DHH is organized yearly by the Helsinki Centre for Digital
Humanities (HELDIG)[1]. Five Hackathons have been organized so far. The
3
Copyright © 2020 for this paper by its authors. Use permitted under Creative
Commons License Attribution 4.0 International (CC BY 4.0).
4
This work has been supported by the European Union’s Horizon 2020 research and
innovation programme under grant 770299 (NewsEye).
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2 R. Ros & S. Oberbichler
Helsinki DHH offers a chance to experience an interdisciplinary research project
from start to finish within the span of 1.5 weeks. For researchers and students
with a computer science or data science background, the Hackathon gives the
opportunity to test abstract knowledge against complex historical problems. For
people from the humanities and social sciences, the DHH shows the potential of
computational methods and multidisciplinary research.
Every edition, around forty participants are divided into four groups. The
group themes are established in advance and the participants can indicate their
prefered group. This year, the group titles were: Newspapers & Capitalism, Genre
and Style in Early Modern Publications, The Many Voices of the European Par-
liament and Brexit in Transnational Social Media.
In earlier years the Hackathon was visited predominantly by Finnish and
European students and researchers. Recently, the Hackathon has widened its
scope with the help of Common Language Resources and Technology Infras-
tructure (CLARIN) and Digital Research Infrastructure for the Arts and Hu-
manities (DARIAH), and the Hackathon participants now include students and
researchers from all over the world.
The team whose work is reported in this paper focused on the history of
nineteenth century British newspapers and consisted of historians (7), linguists
(2), computer scientists (3), data scientists (1) and literary scholars (1).
In the remainder of this paper we describe the research in the Newspapers
& Capitalism group. We discuss the research topics and questions, as well as
the data and methods used in the research. Lastly, we reflect on the Hackathon
as a laboratory for DH-research and we identify factors that challenge and/or
promote multidisciplinary collaboration.
2 Research Topics and Questions
During the first days the group decided to develop several lines of research based
on the personal interests, individual expertise and academic background of the
group members. To develop research questions, the whole team got together
and collected ideas. This process was supported by literature research and close
reading of the newspapers. The group decided to focus on the topic of nineteenth-
century medical advertisements and the language of persuasion employed in
those advertisements.
Throughout the century, medical advertisements occupied an important place
in periodical culture [2][3]. Pills, lotions and ointments were regularly promoted,
not seldom by so-called “quacks”: charlatans who promised to cure every disease
imaginable. The link between sellers of patient medicines and the publishing in-
dustry was intimate. Without the steady demand for advertisement space many
newspapers would have gone bankrupt, and without constant advertising, the
patient medicine industry would not have been able to sustain itself [4].
In the early nineteenth century, the well-organized patent medicines indus-
try had replaced the small-scale quacks, who lacked the skills and resources to
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The Helsinki Digital Humanities Hackathon 3
take part in a market that became increasingly national in scope. The litera-
ture identifies four categories of nineteenth-century advertisers: market leaders,
tradesmen, medical practitioners, elite and locals [5]. During the Victorian pe-
riod there were four leading pill-makers who together represented most of the
newspaper advertising; James Morison, the creator of Universal Pills, a ‘vener-
able’ Salopian called Thomas Parr who sold “Parr’s Life Pills” to increase the
beauty of women, Thomas Holloway who is also identified as the first world-wide
advertiser, and Thomas Beecham who invented “Beecham’s Pills” and claimed
to cure “bilious and nervous disorders” [6]. During the nineteenth century, quack-
ery slowly disappeared from the newspaper pages as scientific insights reached
the broader public and legal action against health fraud was organized [7][8].
This transformation of medical advertising thus ties in with broader questions
about the rise of consumer society, the professionalization of medicine and the
newspaper industry itself.
For the group, the literature also provoked several questions, such as: what
diseases and cures were advertised, whether the advertisers distinguished be-
tween different (gendered) publics, and how the cures were rhetorically marketed
in the advertisements. These questions formed the basis for the Hackathon re-
search in the Newspapers & Capitalism group. They were chosen because they
invited for the use of computational methods, but also benefited from ‘tradi-
tional’ close reading.
Later in the research process, several other group members explored another
significant group of advertisements: job ads. Using the HISCO classification of
jobs, they were able to shed light on the long-term evolution of jobs that were
marketed in advertisements [9].
3 Data
The project used the British Library Nineteenth Century Newspapers collection,
provided by Gale Cengage. The data consist of 304 unique newspapers, 270.744
issues, 26.295.841 articles and 1.560.916 advertisements. The data was indexed
by the HELDIG team and made accessible through an API. In light of the
limited amount of time, the group chose to focus on a specific newspaper:“The
Morning Post”, a British newspaper that was successfully established in 1772 and
existed until 1937 [10]. The Morning Post advertisements, that ran throughout
the century, were used for the questions on diseases/cures, persuasion and gender.
The statistical analysis was applied to all newspapers in the dataset.
The newspapers were accessible in machine-readable form and through an
API developed by the HELDIG researchers. Since the quality of the photographed
pages varies, the quality of the so-called ”Optical Character Recognition” (OCR)
as provided by Gale does so as well. Especially in the first two decades of the
nineteenth century, the OCR confidence levels (included in the metadata) proved
to be relatively low (Figure 1). Another pressing problem was the article seg-
mentation. Because advertisements appear in all forms and sizes, it is hard to
draw boundaries between advertisements and articles, and between individual
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4 R. Ros & S. Oberbichler
advertisements. In the process of segmenting newspaper pages, advertisements
are often grouped together, resulting in low-quality segmentation. In order to
reduce the effect of lacking segmentation and low-quality OCR the analysis used
issue-based frequency, meaning that for example the frequency of a word was
not normalized by the number of advertisements in a newspaper but by the
number of newspaper issues. In response to lower OCR confidence levels in the
first decade of the century, keyword frequency was broadened by taking into
account potential “alternatives” that were automatically generated with word
embeddings (“fchool”, “schoof, when searching for “school”) [11].
Fig. 1. Mean OCR Confidence of News articles (Orange) and Advertisements (Green)
in British newspapers.
4 Methods and Research Process
After defining the research questions and research topics, the group divided
itself in subgroups that would work on specific tasks. First, two computer sci-
entists set out to gather metadata statistics. Three aspects were particularly
important: the ‘quality’ of the data as measured with OCR (Optical Charac-
ter Recognition) confidence levels, the changing composition of newspapers as
measured through the share of categories such as “Advertisements and Notices”
or “Business News”, and, lastly, the original locations of the newspapers. The
statistical insights were presented in Tableau, an online interface that allowed
the group to explore the results.
Informed by the features of the data as presented in Tableau, a group of
historians and data scientists set out to investigate advertisements by using fre-
quency analysis. First, they inquired into the relation between advertisements
and gender by creating subsets of male- and female-oriented ads. The histori-
ans manually composed a vocabulary of gender-related keywords (e.g. “male”,
“female”, “boy”, “girl”) and a vocabulary of cures (e.g. “pills”, “ointments”,
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The Helsinki Digital Humanities Hackathon 5
“balsam”). These vocabularies were used to extract a subset of medical adver-
tisements from the digitized Morning Post and to extract ads that mentioned
gender-related terms. Ads that did not mention any of the vocabulary terms were
excluded. The subset that emerged from this pipeline showed how the ratio of
male- and female-oriented ads changed significantly during the century (Figure
2).
The group then investigated the relation between gender and medicine by
extracting cures and diseases from the ads. To do so, the group employed word
embeddings, a method used to embed words in a ’vector space’ that is subse-
quently used to inquire into semantic relations between words [12]. Embeddings
were trained on samples from the Morning Post for every decade by using the
popular Python library word2vec [13]. This allowed the group to filter words
that were semantically close to words such as “disease”, “cough” and “pain”. In
this way, a typology of diseases could be created. A similar method was used to
extract the advertised cures.
By combining the extracted information on cures and diseases with the vo-
cabularies of gender-related keywords, the ads could be classified into groups
of male- and female-oriented ads. This allowed us to inquire into two differ-
ent aspects of nineteenth-century medical advertising. First, we could track the
changes in the target audience. Especially later in the century, female-oriented
ads became more present in the corpus. Also, we could investigate whether differ-
ent cures and diseases appeared in advertisement aimed at different publics. By
looking separately at male- and female-oriented ads, we were able to find differ-
ences between the targeted diseases. Mental illnesses, for example, were slightly
more associated with women. We related this trend to existing literature on the
history of female “hysteria” [14].
These data-driven insights were verified by historians in the group who sys-
tematically collected samples of newspapers through the Gale Search Engine
and its keyword search interface [15]. For each decade, twenty newspapers were
subjected to close reading. This allowed the group not only to complement the
frequency analysis, but also pointed at potential problems, such as ads that
were not specifically aimed at men or women, or ads that consisted primarily of
images.
A similar iterative approach was taken to the strand of research that looked
into the language of persuasion. The literature on the language of early-modern
advertising provided several insights into the linguistic features of advertising
in the eighteenth century [16,17,18]. Several linguists in the group investigated
these features in the nineteenth century, hereby focusing on modal verbs (w.g.
”wishes highly to recommend”) and the use of repetition to draw attention
and testimony. During the research, it appeared that many of these fine-grained
rhetorical tropes were hard to quantify as a result of lacking article segmentation
and OCR-errors. For this reasons, the digital methods in this line of research
were restricted to the relative frequency of specific parts-of-speech such as modal
verbs and adjectives.
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6 R. Ros & S. Oberbichler
The last subquestion, on the changing prominence of occupations in job ad-
vertisements was investigated by using a list of English-language job titles and
comparing those to the full-text advertisements. Using the associated classifica-
tion codes as a way to cluster specific occupations together, we were able to shed
a light on the changing job market: low-skilled and production-related jobs rose
in prominence, a pattern that was also visible in the category of professional and
technical workers.
5 Results
The Hackathon research yielded surprising outcomes given the limited amount of
time. With regard to the medical advertisements, the changing proportion and
character of male- and female-oriented advertisements was a striking finding.
In the first decades of the nineteenth century, ads were mainly targeted at a
male audience. Gradually, female-oriented ads advanced. Especially in the last
two decades of the century, the proportion of those advertisements increased
significantly.
Fig. 2. The share of medical advertisements in the Morning Post containing male- and
female-related terms, 1800-1900.
The advertisements also differed in terms of their contents. Although dis-
tant reading techniques were not able to fully capture the complexity of this
issue, close reading revealed the gendered nature of specific illnesses and cures.
The investigation of persuasiveness in newspaper language similarly produced
surprising results. Computational analysis was not very important for the out-
comes, but the results invite for further analysis into for example modal verbs
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The Helsinki Digital Humanities Hackathon 7
and the repetition of specific product names. Lastly, the research into job ad-
vertisement made good use of the HISCO-classification and was able to gain an
insight in nineteenth-century transformations on the job market with relatively
simple methods.
6 Experiences
The Hackathon was first and foremost a learning experience. Humanists learnt
new skills and methods to do research computationally and computer/data sci-
entists were confronted with the complexities of messy historical data. Through-
out the week, the group formed a comprehensive understanding what kind of
multidisciplinary research could be done, and how such research should be de-
signed and executed. The group also learned about the challenges of collabora-
tion within an interdisciplinary projects; How can I communicate what I need
and what I want and how can I explain digital tools and methods to humanities
researchers?
If we look back at the Hackathon experience from the perspective of broader
questions about collaboration in Digital Humanities research one aspect stands
out. During the Hackathon, crossing disciplinary boundaries remained a constant
effort for all the researchers. Despite the favourable “geography of practice” and
the unique circumstances offered by the Hackathon format, practically all the
group members frequently ‘drifted’ back to methods and traditions that were
familiar to them [19]. Computer scientists and data scientists reverted to data
curation and visualization while for the humanists close reading the newspapers
and surveying the literature was something they could and would do easily. The
short time span pressured the group members to come up with clear results, and
resorting to familiar research practices was considered to be an easy way out.
For example, if the data harmonization or model training would take longer than
planned, going back to close reading was a tempting solution. The design of the
research questions to a large extent facilitated this reflex to return to familiar
territory. Because the questions posed could be answered by both computational
methods and close reading, splitting those tasks was tempting.
This dynamic of “disciplinary isolationism” surfaced frequently. Three fac-
tors can be identified as having a positive effect on promoting collaboration and
preventing this reflex of “methodological isolationism”. First, a shared vocab-
ulary: throughout the Hackathon, researchers visibly (and audibly) integrated
their methodological vocabularies. Initially, terms such as “modelling” and “data
cleaning” put the humanists at a distance from the computer scientists’ prac-
tices. Similarly, the latter group had a completely different understanding of the
language of hermeneutics employed by historians and linguists. Towards the end
of the Hackathon, however, terms such as “harmonization”, “close reading” and
“language models” were used by historians and computer scientists alike.
Second, a group of what could be called “bridge-builders”, “intermediaries”
or “translators” proved essential in facilitating and actually doing the research
[20][21][22]. A small number historians in the group who had worked in multi-
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8 R. Ros & S. Oberbichler
disciplinary research groups before or were proficient in coding and data man-
agement themselves formed important links between the disciplines. After two
to three days, a workflow emerged that evolved around these (coding) bridge-
builders who had access to the data and were able to translate historical ques-
tions into for example statistical tests. Whereas this inter-disciplinary group
members were important, the Hackathon also showed how vital steps in the
analysis could be easily outsourced to this limited number of “specialists”, ul-
timately preventing integration and collaboration. For example the mass-scale
extraction of diseases and cures from the digitized ads was an essential task, but
was done by programming historians.
Lastly, leadership was an vital factor in promoting collaboration. The group
leaders were especially important in the first stage of designing the research plan.
Because they had experience with DH-research, they were able to indicate the
limits of what was possible. During the research itself, the group leaders provided
focus. Because the Hackathon provided the participants with an full arsenal of
tools and method, it proved important to decide on what was not to be done.
Additionally, the group leaders were also the key links between the computer
scientists and the humanists. They differed from the earlier mentioned category
of ”bridge-builders” in the sense that they remained at a distance, not doing the
research themselves.
7 Conclusion
The Helsinki Digital Humanities Hackathon is a fascinating laboratory for Digital
Humanities research. Participants from a diverse range of backgrounds engage
in cutting-edge research. Professors and bachelor students, humanities schol-
ars and computer scientists worked together on the same research question and
learned from each other. The research done in the Newspapers & Capitalism
group crossed borders but the group also encountered challenges. The mixing
of the different disciplines was slow and it would have taken even more time
to establish collaboration that truly integrates existing traditions and methods.
Given the impressive results and the increase in mutual understanding, how-
ever, the Hackathon gives cause for optimism when it comes to the future of
multidisciplinary Digital Humanities research.
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